Remote Jobs Across Engineering, Product, and Data

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39 Companies

Senior Data Engineer

DecisionPoint | Cortek

DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience.

Data Engineer19 hours ago

Full Time Remote SeniorTeam 51-200

Role Description DecisionPoint seeks a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS GovCloud IL2–IL5 environments through the use of scalable data engineering practices and secure DevSecOps integration. This position is fully remote. The Data Engineer will: - Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data. - Develop and optimize data models and schemas across relational and non-relational databases to support system integrations and analytics. - Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments. - Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms. - Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure. - Support data validation and reconciliation, performing quality checks and developing reports to ensure accuracy. - Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes. - Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency. - Monitor and troubleshoot data pipeline performance, ensuring adherence to SLAs and operational reliability. - Implement data encryption, masking, and access controls in compliance with DoD cybersecurity policies and RMF requirements. - Support development of dashboards and analytics products, enabling data-driven insights for mission stakeholders. - Maintain documentation and metadata repositories, including data dictionaries, lineage, and technical specifications. - Participate in Agile sprints, contributing to backlog refinement, testing, and cross-functional collaboration. Qualifications - Clearance Requirement: Must hold an active Secret clearance. - Education: Bachelor’s degree in Computer Science, Information Systems, or a related technical field. - Experience: Minimum 7 years of experience in data engineering, integration, or analytics enablement. - Experience building and optimizing data pipelines in enterprise or federal environments. - Familiarity with Agile software development and DevSecOps delivery frameworks. - Related technical certification required. Requirements - Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue). - Experience with cloud data services, preferably AWS GovCloud (RDS, S3, Lambda, Glue, Redshift). - Knowledge of database management systems (PostgreSQL, SQL Server, DynamoDB, MongoDB). - Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV). - Understanding of DoD data security and compliance standards, including encryption, RMF, and STIG adherence. - Experience developing and maintaining data validation, profiling, and transformation scripts. - Exposure to data visualization and analytics tools (Power BI, Tableau, QuickSight). Certifications (Preferred) - AWS Certified Data Engineer – Associate or AWS Certified Developer. - CompTIA Security+ CE or equivalent DoD 8570 certification. - Certified Data Management Professional (CDMP) or equivalent. Skills - Strong analytical and problem-solving skills for data integration and performance tuning. - Excellent communication and collaboration across technical and functional teams. - Attention to detail with focus on data accuracy and consistency. - Ability to balance data governance, security, and performance objectives. - Commitment to continuous improvement and mission impact through data-driven decision-making.

View details: Senior Data Engineer

United States

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Senior Data Engineer

Sportradar

Sportradar, the leading global sports technology company creating immersive experiences for sports fans and bettors.

Data Engineer11 days ago

Full Time Remote SeniorTeam 1,001-5,000Since 2001H1B Sponsor

Company Site LinkedIn

Role Description THE CHALLENGE - Design, build, and implement generalized large-scale, sophisticated data pipelines using Nifi for downstream analytics and data science for our Sport Performance products. - Design and develop scalable Nifi ingestion pipelines within AWS cloud services to consume real-time and batch data from external sources. - Ensure the seamless integration of AWS-based tools for data storage, processing, and analytics. - Responsible for ETL development and warehousing using Python and Java. - Create data pipeline triggers and filters within ETL (extract, transform, and load) process to ensure appropriate optimization of data flowing through the system and resource usage. - Implement monitoring and error handling for all new parts of the data pipeline to ensure observability and alerting is available. - Establish rigorous unit testing across the data pipeline to ensure robustness of the system. - Design and create data models for use throughout the ETL system. - Utilize Kafka to efficiently and effectively store data to move throughout the data pipeline and for downstream data science and analytics usage. - Design data architecture and data models for both internal and external representations of data. - Build the data transforms within the data pipeline to convert data from external to internal representations. - Conduct data analytics and debugging of bad data by writing SQL queries. - Build automated cleaning of data to remove bad or unusable data from downstream consumers with logging to understand the frequency and depth of the underlying issues. - Collaborate with other engineering teams to adopt standard methodologies, drive scalability, and increase consistency across systems. - Maintain awareness of company standards and technology guidance; use JIRA, an Agile project management tool, to ensure efficient data development; collaborate with peers to align projects with overall direction. - Follow best practices across Data Engineering to ensure scalable, consistent data architecture and system. - Utilize Java language to build data processor in Nifi framework. - Utilize Docker to ensure consistent, repeatable, and isolated environment for software development and testing. - Work in a self-driven, independent fashion to meet Sport driven deadlines. - Position permits telecommuting from anywhere in the U.S. Qualifications - Master’s degree in Computer Science, Computer Engineering, or closely related field. - 1 year experience as a data engineer or related occupation. - 1 year of experience with: - Python - Java - Kafka - AWS - Docker - ETL Development and Warehousing - Analytic and debugging using SQL - Agile development environment - Designing data architecture Benefits - A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours.

Apache NiFi AWS ETL Python Java Observability/Monitoring Apache Kafka Data Analytics SQL JIRA Data Engineering Docker Workday

View details: Senior Data Engineer

United States

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Staff Data Engineer

Johnson & Johnson Innovative Medicine

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Data Engineer17 days ago

Full Time Remote LeadTeam 10,001

Role Description Design, build, and maintain robust, scalable, and efficient data pipelines that involve data from Last Mile Orthopedics Supply Chain domain. Integrate data from diverse sources, including but not limited to, databases, external file systems, APIs, ensuring data consistency and reliability. - Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics. - Manage and optimize databases, ensuring their performance, availability, and security. - Lead SDLC project deployment process by reviewing system architecture, ensuring automation of end-to-end data pipe, and performing code peer reviews by incorporating industry standard best practices. - Manage testing phase (unit test, system test), project deployment activities, and create technical documentation while collaborating with Scrum team and SQA, all within an Agile framework. - Mentor junior data engineers, providing guidance on coding best practices and data pipeline design to streamline development. - Demonstrated business knowledge in Last Mile Orthopaedic Supply Chain processes: - Field inventory and production management in supply chain - Inventory Entitlement & Allocation Models - Inventory re-allocation & reverse logistics models - Backorder & STEM processes - Product Lifecycle Management - Product Cannibalization - Fixed Asset Construction in Progress Cost Tracking - Supply Attainment - Build and manage Azure VPC architecture to create a robust, secure, and scalable cloud infrastructure that enables seamless end-to-end automated data flow. - Leverage Azure technology stack to redesign sustainable and cost-effective solutions. - Supervise projects that include complex data pipeline integration, providing innovative alternatives for their construction and optimization. - Leverage git branching strategies to improve collaboration, streamline code reviews, and optimize deployment in data workflows. May telecommute from within Florida. Qualifications - Master's degree in Computer Science, Data Science, Software Engineering, Business Analytics and Information Systems, or related field. - 5 years of experience in the job offered or in a Senior Data Engineer-related occupation. Requirements - Experience with data architecture, data modelling, data integration and data engineering tools - Databricks, Azure Data Factory, Prophecy IO, Alteryx, Apache Nifi, Service Oriented Architecture (SOA), and Oracle Service Bus. - Programming languages: PySpark, SQL, Python, and R. - SQL optimization and database management systems: MS SQL Server, MySQL, PostgreSQL, Oracle, Redshift, SQLite, and Azure SQL. - Cloud platforms: Azure Data Factory, Azure Databricks, Snowflake, and Google Cloud Platform. - UX and UI design and development of Business Intelligence data visualization and exploration tools using Power BI, Tableau, and Qlik. - Agile SDLC including scrums, sprints, and retrospectives. - DevOps tools and practices including Jenkins and Terraform. - Atlassian tools: Bitbucket, JIRA, and Confluence. - Transactional ERP systems: SAP OTC, SAP B2B, JDE 8.12, SAP Anspach, and planning systems APO/OMP. - Managing Azure VPC resources, network settings - subnets, private endpoints, and security groups for secure, scalable cloud environment. - API Integration, including RESTful and SOAP services, authentication, and error handling. - Data cataloging tool: Oval Edge. - Last Mile Supply Chain Data Engineering. - Orthopedic Last Mile Supply Chain processes including Field inventory and production management in supply chain, entitlement, safety stock, inventory re-allocation, backorder, product lifecycle management, product cannibalization, capital expenditure and Construct in Progress, and supply attainment. Benefits - Vacation – 120 hours per calendar year. - Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado – 48 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year. - Holiday pay, including Floating Holidays – 13 days per calendar year. - Work, Personal and Family Time - up to 40 hours per calendar year. - Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child. - Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year. - Caregiver Leave – 80 hours in a 52-week rolling period. - Volunteer Leave – 32 hours per calendar year. - Military Spouse Time-Off – 80 hours per calendar year. - This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.

View details: Staff Data Engineer

United States

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Job Closed

Elastic Engineer

Booz Allen Hamilton

Booz Allen Hamilton is an award-winning provider of strategic innovation, management consulting, technology, and engineering services. Founded in 1914, the comp

Engineer18 days ago

Full Time Hybrid Senior

Company Site

Elastic Engineer Location: Honolulu United States Full time Job Description: The Opportunity: Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema. Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analyst can use for threat hunting, maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on. Work with the vendor to determine best practices for deployment and maintenance of system architecture and deploy within designated security requirements. Join us. The world can't wait. You Have: - Experience with Elastic Stack, such as Elasticsearch, Logstash, and Kibana tools, including installing, configuring, maintaining, upgrading, and troubleshooting these products - Experience building high-quality Kibana visualizations and dashboards - Experience with log pipelines and interpreting logs to determine information, including converting raw logs into ECS formatted documents - Experience with Logstash plugins, filters, regular expressions, and grok patterns - Knowledge of cryptography protocols and standards, including TLS, mTLS, hashing algorithms, and Public Key Infrastructure (PKI) - Knowledge of federal compliance standards, including NIST 800-53, FIPS, STIG, and FedRAMP - Secret clearance - HS diploma or GED Nice If You Have: - Experience working with Docker, Kubernetes, and cloud containerization solutions, such as Elastic Cloud on Kubernetes (ECK) - Experience with NiFi, Kafka, and Confluent - Experience with Office 365 applications and Teams collaboration - Experience interacting with tools through RDP, web-based UI, SSH, and CLI - Experience in DoW, Intelligence Community, or other regulated environments - Knowledge of Elastic Index Lifecycle Management (ILM) - Knowledge of Linux or UNIX environments, including navigating and troubleshooting basic OS issues - Knowledge of networking protocols - Knowledge of how various systems interact with each other - Knowledge of Zero Trust Architecture (ZTA) principles Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Amazon ECS Elasticsearch Logstash Kibana TLS mTLS Docker Kubernetes Docker/Containers Apache NiFi Apache Kafka Linux Unix AI

View details: Elastic Engineer

Hawaii

$86.9K - $198K / year

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Lead AI & Data Analytics Engineer

NavAide

We help our clients face challenges and navigate complex transitions.

Data Engineer19 days ago

Full Time Remote LeadTeam 51-200H1B No Sponsor

Company Site LinkedIn

Role Description We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making. Key Responsibilities - Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations. - Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform. - Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions. - Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools. - Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets. - Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements. - Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows. - Identify, prioritize, and drive analytics and AI use cases from concept through delivery. - Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions. - Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations. - Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk. - Support data integration across contract writing, procurement, financial, program, and operational data sources. - Validate AI-generated outputs against source data, business rules, and subject matter expert feedback. - Establish standards for data quality, governance, documentation, and responsible AI use. - Provide technical direction to junior or support-level data analytics staff. - Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders. Qualifications - 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development. - Experience building analytics products in Palantir Foundry. - Experience working with Advana, Jupiter, or similar federal/DoD data environments. - Strong experience with SQL, Python, TypeScript/JavaScript. - Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake). - Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions. - Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data. - Strong understanding of data governance, data quality, access control, and responsible AI practices. - Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight. - Strong client-facing communication skills and stakeholder engagement skills. - Eligible to obtain a U.S. Government clearance. - Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate. - Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience. Requirements - Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events. Benefits - Competitive compensation: $130,000 – 150,000 / year (commensurate with experience). - Comprehensive benefits, including medical, dental, and vision coverage. - Flexible time off. - Professional development opportunities. - Company perks such as flex spending, wellness initiatives, etc. - 401(K) matching.

AI Data Analytics Databricks SQL Python PySpark ETL AI/ML Data Engineering TypeScript JavaScript Apache Spark Apache Kafka Hadoop Snowflake Azure AWS Apache NiFi Power BI

View details: Lead AI & Data Analytics Engineer

United States

$130K - $150K / year

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Kafka Data Engineer

Booz Allen Hamilton

Booz Allen Hamilton is an award-winning provider of strategic innovation, management consulting, technology, and engineering services. Founded in 1914, the comp

Data Engineer22 days ago

Full Time Hybrid Senior

Company Site

Kafka Data Engineer Location: Ford Island, HI, United States Full time job requisition id R0241130 Job Description: Kafka Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it is gathered from disparate sources. We need a Data Engineer who is experienced in upgrading and maintaining Kafka clusters in Kubernetes in AWS, as well as utilizing Kafka Schema Registry and Kafka Security Manager (KSM) to manage schema evolution and security. In this role, you'll use your expertise in designing, developing, and deploying Kafka clusters in a cloud environment, and with Kafka Schema Registry and Kafka Security Manager. Here, you will guide and mentor data engineers, developers, and data consumers in a fast-paced, agile environment and will oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Join us. The world can't wait. You Have: - Experience with Kafka - Experience creating data partitioning strategies and monitoring topics for performance - Experience deploying and upgrading Kafka clusters in high availability containerized environments - Experience utilizing observability platforms such as Elastic or Datadog to configure monitoring for data pipelines to ensure high availability and throughput, low latency, and alerting - Knowledge of stream processing pipelines and analytics - Secret clearance - HS diploma or GED Nice If You Have: - Experience with Apache NiFi - Experience with multi-cluster or containerized environments - Experience with scripting in Bash or Python - Experience deploying and maintaining applications, appliances, or machines aligned to DoD Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG) - Experience writing playbooks and scripts for automation tools, including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC) - Knowledge of cybersecurity concepts, including threats, vulnerabilities, security operations, encryption, boundary defense, auditing, authentication, and supply chain risk management - Bachelor's degree - DoD 8570 IAT Level II Certification such as Security+, CCNA Security, or GSEC Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Apache Kafka Kubernetes AWS Observability/Monitoring Datadog Apache NiFi Shell Python Terraform Ansible Puppet Infrastructure as Code AI

View details: Kafka Data Engineer

Hawaii

$77.6K - $176K / year

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Consolidated Data Analytics Platform Elastic Engineer

Booz Allen Hamilton

Booz Allen Hamilton is an award-winning provider of strategic innovation, management consulting, technology, and engineering services. Founded in 1914, the comp

Data Engineer22 days ago

Full Time Hybrid Senior

Company Site

Consolidated Data Analytics Platform Elastic Engineer Locations Fort Meade, MD Pensacola, FL Honolulu, HI Columbus, OH Hill AFB, UT Full time job requisition id R0239439 The Opportunity: Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema. Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analyst can use for threat hunting, maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on. Work with the vendor to determine best practices for deployment and maintenance of system architecture and deploy within designated security requirements. Join us. The world can't wait. You Have: - 2+ years of experience with Elastic Stack, such as Elasticsearch, Logstash, and Kibana tools, including installing, configuring, maintaining, upgrading, and troubleshooting these products - 2+ years of experience building high-quality Kibana visualizations and dashboards - Experience with log pipelines and interpreting logs to determine information, including converting raw logs into ECS formatted documents - Experience with Logstash plugins, filters, regular expressions, and grok patterns - Knowledge of cryptography protocols and standards, including TLS, mTLS, hashing algorithms, and Public Key Infrastructure (PKI) - Knowledge of federal compliance standards, including NIST 800-53, FIPS, STIG, and FedRAMP - Secret clearance - HS diploma or GED Nice If You Have: - Experience working with Docker, Kubernetes, and cloud containerization solutions, such as Elastic Cloud on Kubernetes (ECK) - Experience with NiFi, Kafka, and Confluent - Experience with Office 365 applications and Teams collaboration - Experience interacting with tools through RDP, web-based UI, SSH, and CLI - Experience in DoW, Intelligence Community, or other regulated environments - Knowledge of Elastic Index Lifecycle Management (ILM) - Knowledge of Linux or UNIX environments, including navigating and troubleshooting basic OS issues - Knowledge of networking protocols - Knowledge of how various systems interact with each other - Knowledge of Zero Trust Architecture (ZTA) principles Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Analytics Amazon ECS Elasticsearch Logstash Kibana TLS mTLS Docker Kubernetes Docker/Containers Apache NiFi Apache Kafka Linux Unix AI

View details: Consolidated Data Analytics Platform Elastic Engineer

Ohio + 3 more

$86.9K - $198K / year

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Data Architect – Mid and Senior

Accenture

Architect22 days ago

Full Time Remote SeniorTeam 10,001+H1B Sponsor

Company Site LinkedIn

Role Description Estamos em busca de um(a) profissional apaixonado(a) por dados e soluções em nuvem para integrar nosso time de tecnologia e atuar em projetos desafiadores e transformadores. Se você tem experiência em arquitetura de dados, estatística, desenvolvimento de dashboards e interesse em machine learning e big data, essa oportunidade é para você! - Conduzir análise negocial e levantamento de requisitos para projetos de dados. - Definir e implementar a arquitetura de dados corporativa, assegurando qualidade, integridade, segurança e governança. - Modelar bancos de dados relacionais e multi-relacionais, incluindo Data Warehouse e Data Lake. - Desenvolver pipelines de ETL/ELT e integrações entre sistemas. - Criar dashboards e relatórios para apoiar a tomada de decisão. - Aplicar técnicas de estatística descritiva e inferencial, testes de hipótese e análise de dados. - Implementar soluções básicas de Machine Learning (regressão, classificação, clusterização) e redes neurais (MLP, RNN, CNN), além de explorar AI generativa (LLM) como diferencial. - Trabalhar com streaming de dados utilizando ferramentas como Kafka e Nifi, e programação em Scala e/ou Spark. - Desenvolver e publicar modelos em ambientes de cloud (AWS, Azure, GCP ou IBM Cloud). - Atuar com containers e orquestração (Docker, Kubernetes) em ambientes de produção. - Trabalhar com Big Data: HDFS, MapReduce, Hive, Flume. Qualifications - Experiência sólida em administração, modelagem e governança de dados (idealmente 5 anos ou mais). - Domínio em modelagem conceitual, lógica e física. - Experiência em bancos de dados SQL (Oracle, SQL Server, PostgreSQL, MySQL) e NoSQL (MongoDB, Redis, Cassandra). - Experiência com ferramentas de modelagem, governança, metadados, MDM, qualidade e catálogo de dados. - Conhecimento em integrações, APIs, eventos e arquiteturas complexas. - Conhecimentos em Python. - Experiência em desenvolvimento de dashboards. Requirements - Experiência com Machine Learning e AI generativa. - Experiência em streaming, Big Data e Cloud. - Visão sistêmica e orientação estratégica. - Comunicação clara e assertiva. - Liderança técnica e colaboração entre áreas. Benefits - Assistência Médica - 100% subsidiada pela empresa (titular e dependentes). - Assistência Odontológica. - Vale Refeição ou Alimentação sem desconto. - Seguro de vida. - Previdência Privada. - Gympass. - Opção de compra de ações da empresa com desconto. - Desconto Farmácia. - Auxílio Creche. - Parceria com escola de idiomas. - Licença Maternidade e Paternidade Estendida. - PPR.

View details: Data Architect – Mid and Senior

Brazil

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Lead Data Engineer

phData

Data Engineer26 days ago

Full Time Remote LeadTeam 201-500Since 2014H1B Sponsor

Company Site LinkedIn

Role Description Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. Qualifications - 8+ years as a hands-on Data Engineer designing and implementing data solutions - Team lead, and/or mentorship of other engineers - Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration - Programming expertise in Java, Python and/or Scala - Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP - SQL and the ability to write, debug, and optimize SQL queries - Client-facing written and verbal communication skills and experience - Create and deliver detailed presentations - Detailed solution documentation (e.g. including POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.) - 4-year Bachelor's degree in Computer Science or a related field Requirements - Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks - Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems - Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies - Multiple data sources (e.g. queues, relational databases, files, search, API) - Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment - Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines - Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi Benefits - Remote-First Workplace - Medical Insurance for Self & Family - Medical Insurance for Parents - Term Life & Personal Accident - Wellness Allowance - Broadband Reimbursement - Continuous learning and growth opportunities to enhance your skills and expertise - Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

Snowflake AWS Azure GCP Pinecone dbt Java Python Scala Databricks SQL Hadoop Amazon S3 HDFS Elasticsearch Cassandra NoSQL Apache Spark Apache Kafka Matillion Apache NiFi Informatica Airflow

View details: Lead Data Engineer

Worldwide

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Job Closed

Sr. Software Engineer

CDK Global

CDK Global is uniquely positioned at the heart of the automotive ecosystem, connecting the industry at every level.

Software Engineer30 days ago

Full Time Remote SeniorTeam 5,001-10,000Since 1972H1B Sponsor

Company Site LinkedIn

Role Description Design and develop EMR pipelines by using AWS services like SQS QUEUE, EC2 instances, AWS data pipeline, S3 buckets, AWS glue, RDS and others. - Create extract-transform-load (ETL) EMR pipelines based on HADOOP, hive, Yarn resource manager, NIFI, spark and python frameworks in AWS. - Interpret the data mapping document to identify the source systems like SQL server and develop required spark transformations for ingesting the ETL data into titan platform. - Optimize spark jobs using Pyspark after complete analysis of multiple parameters and opportunities to improve the target systems along with data quality checks. - Create spark data frames/RDD's and load the data in different formats JSON, Parquet, AVRO, CSV and others. - Evaluate new architectures and technologies such as snowflake, Debezium and other tools to improve performance and efficiency of ETL tasks. - Responsible for completing the data requests from CDK product customers and help them debug and resolve any data quality issues in a timely manner. - Work closely with the CDK customers and provide the feedback to the CDK service team to improve reliability of our products. - Work in the scaled agile methodologies to increase the quality of the deliverables. - Monitor and resolve production 11/12 issues. - 100% Telecommuting. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Computer Engineering or a related field plus 5 years of professional experience as a Software Developer or related occupation. - Alternatively, a Master’s degree or foreign equivalent in Computer Science, Information Technology, Computer Engineering or a related field plus 3 years of professional experience as a Software Developer or related occupation. - Employment experience with: - Designing, developing, and migrating data pipelines to latest data frameworks such as Databricks. - Creating Extract-Transform-Load (ETL) pipelines based on Hadoop, Hive, Nifi, Spark and Python frameworks in cloud AWS/Snowflake. - Mapping data between source systems and data lake and developing required data transformations for ingesting the source data into data lake (TITAN Platform). - Creating spark data frames/RDD's and loading the data in different formats such as Json, Parquet, Avro, and CSV. - Evaluating new architectures and technologies such as Snowflake, Debezium, Kafka and other tools to improve performance and efficiency of ETL tasks. Requirements - Applicants must be legally authorized to work in the United States without the need for current or future employment-based visa sponsorship. - The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. Benefits - Medical, dental, and vision benefits. - Paid Time Off (PTO). - 401K Matching Program. - Tuition Reimbursement.

AWS Amazon SQS Amazon EC2 Amazon S3 Amazon RDS ETL Hadoop Apache Hive Yarn Apache NiFi Apache Spark Python Microsoft SQL Server PySpark JSON Snowflake Debezium Databricks Apache Kafka

View details: Sr. Software Engineer

United States

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