This page tracks remote data engineer openings that are location-eligible for Massachusetts.
Open jobs
3,198
Hiring companies this week
10
Salary sample
$85,000 - $180,000
Jobs added last hour
0
3198 Jobs
1914 Companies
Experts in contact center solutions. Your product doesn’t differentiate you, but your customer support experience does.
• Design and maintain enterprise reporting architecture supporting program management, operational reporting, and executive dashboards. • Develop scalable data models, reporting frameworks, and business intelligence solutions using industry best practices. • Collaborate with business stakeholders to define reporting requirements, key performance indicators (KPIs), and data visualization strategies. • Design and optimize SQL queries, stored procedures, and data pipelines supporting enterprise reporting initiatives. • Develop executive dashboards and interactive reports using Power BI, Tableau, or similar business intelligence platforms. • Ensure reporting accuracy through data validation, quality assurance, and data governance processes. • Partner with Data Analysts, Business Analysts, and technical teams to identify new reporting opportunities and improve data accessibility. • Maintain technical documentation, data dictionaries, reporting standards, and architectural diagrams. • Support executive governance meetings by providing reporting solutions and analytical insights that inform strategic decision-making. • Recommend continuous improvements to reporting architecture, data integration processes, and business intelligence capabilities.
We believe in the power of technology to transform businesses and build a better world.
• The ADABAS Data Engineer is responsible for designing, developing, maintaining, and optimizing data solutions built on the ADABAS platform. • Analyze business and technical requirements and translate them into database designs and data models. • Develop and optimize ADABAS queries, utilities, and data extraction processes. • Work with Natural, COBOL, JCL, and other mainframe technologies to support data processing requirements. • Perform data migration, conversion, and integration activities between ADABAS and modern data platforms. • Monitor database performance and implement tuning strategies to improve efficiency and reliability. • Ensure data integrity, backup, recovery, and security procedures are maintained. • Troubleshoot and resolve database-related issues, incidents, and performance bottlenecks. • Collaborate with application developers, architects, business analysts, and infrastructure teams. • Support modernization efforts involving API integration, cloud migration, and data warehousing initiatives.
Role Description We’re looking for a Solutions Engineer to join our Data Management team, reporting to the Director of Implementation Services. You’ll help implement the Redpoint Customer Engagement Hub (CEH) for our clients, focusing on the ETL, data hygiene, and identity resolution components that power our Redpoint Data Management (RPDM) product. This is a strong opportunity for an engineer early in their career who wants to grow into a subject matter expert across our Marketing/Campaign product suite. What You'll Do - Deploy Redpoint software based on client-approved Business Requirements and Design documents - Build ETL processes to consume 1st- and 3rd-party data into the marketing data repository using Redpoint Data Management - Develop into a subject matter expert in Redpoint Interaction, our Marketing/Campaign orchestration product - Collaborate with development team members and project leadership to implement solutions that meet project standards, escalating issues and challenges as needed - Provide support, troubleshooting, and forensic assistance for client implementations, both Redpoint-hosted and client-hosted - Collaborate with development teams to identify new product features and functionality - Support recruiting of qualified personnel as needed Qualifications - 2–5 years of experience in a solutions engineering, data engineering, or implementation role - Strong problem-solving skills and the ability to work effectively in a team environment - Strong client interaction and communication skills, both written and verbal - Experience building automations that consolidate disparate data sources into a single operational or OLAP environment - Working knowledge of relational database design and data manipulation concepts, including data hygiene and match/merge techniques supporting identity resolution and householding - Demonstrated knowledge of SQL - Experience with ETL/ELT and 3rd-party data integration technologies (e.g., Azure Data Factory, Fivetran, Matillion, Alteryx, Informatica) - Ability to travel as required Nice to Have - Experience with Snowflake or other cloud data warehouse platforms - Familiarity with AI/ML-powered data tools or generative AI applications in a marketing or data context - Java and familiarity with web services technologies (SOAP, JSON) - Cloud-based hosting experience (Microsoft Azure, AWS) - Marketing Campaign Management or Customer Engagement/CRM experience, especially in retail - Tableau or other BI tool experience Benefits - Competitive Medical, Dental, and Vision Insurance - Flexible leave policy – take the time you need, when you need it - 10 company-paid holidays Salary Range $85-110K Requirements Must be able to work for any US employer – Redpoint is not able to offer sponsorship at this time.
AARP is a nonprofit dedicated to improving and enhancing the quality of life for aging people. It originally evolved from the National Retired Teachers Associat
Role Description The Engineer I is a technical resource on a platform/capability team responsible for supporting the day-to-day design, implementation, and operational activities of the team. - Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services. - Maintaining code repositories and Git-based services, if applicable. - Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way. - Collaborating with team to identify technical solutions for business and enterprise needs. - Developing technical knowledge and expertise related to domain area systems, solutions, services and applications. Qualifications - Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field. - 1+ years of experience developing in Python and SQL, with a strong foundation and a commitment to continuously improving programming expertise. - Working knowledge of data management principles, data integration processes, and cloud-native technologies. - Familiarity with DevOps practices and Git-based version control for collaborative development. - Foundational understanding of APIs, with the ability and curiosity to quickly expand knowledge. - Basic exposure to object-oriented and/or ontology-based data environments (e.g., graph databases, semantic models, or platforms like Salesforce). - Collaborative, growth-oriented team player who brings new ideas, demonstrates strong problem-solving skills, and is eager to learn, experiment, and contribute within a high-performing team environment. Requirements - Regular and reliable job attendance. - Effective verbal and written communication skills. - Exhibit respect and understanding of others to maintain professional relationships. - Independent judgement in evaluation options to make sound decisions. - Home office environment with the ability to work effectively surrounded by moderate home environment noise - (Telework). Benefits - Competitive compensation and benefits package including a 401(k). - 100% company-funded pension plan. - Health, dental, and vision plans. - Life insurance. - Paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave. - Performance-based and peer-based recognition. - Tuition reimbursement.
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. BILL builds high performing teams and we seek to hire the best talent for every role.
Role Description Join BILL as a Staff Data Warehouse Engineer and help build the trusted data backbone that powers decision-making across Finance, Product, and Go-to-Market. You’ll be a senior technical owner on our Data Operations & Enablement team, designing and delivering end-to-end pipelines and warehouse architecture that become the single source of truth for the business. If you take pride in building reliable systems the right way, and you enjoy turning ambiguity into well-modeled, performant data products, this is the role to do your career-defining work. In this role, you’ll architect and harden core data infrastructure from ingestion through curated marts that executive leadership and Finance rely on for reporting, planning, and strategic decisions. You’ll partner closely with analytics, data science, and product teams to make integrations robust, patterns reusable, and datasets trustworthy. Bring a builder’s mindset, a bias for simplicity, and a passion for elevating standards. Your work will be the foundation others build on. Responsibilities: - Own end-to-end delivery of pipelines and warehouse architecture, from design through production, for new builds, migrations, and re-platforming efforts. - Administer and harden the data warehouse, including schema design, performance tuning, stability, and cost-aware optimization. - Embed data quality and governance into pipelines by default — testing, documentation, lineage — not as afterthoughts. - Translate ambiguous business requirements into clear technical designs; scope tradeoffs and dependencies with cross-functional stakeholders. - Define and codify simple, stable, repeatable engineering standards and patterns adopted by the broader team. - Mentor engineers through design reviews, code reviews, and hands-on guidance to raise the technical bar. - Evaluate and introduce tools or architecture patterns when they materially improve scale, reliability, or cost and be able to justify and explain the rationale. - Design the warehouse to be queried by AI agents, not just people. Qualifications - 8+ years of experience in data engineering or combined software/data engineering roles, with a track record of owning significant warehouse builds end-to-end. - Expert-level SQL (multiple dialects) and strong Python, with examples of production-grade applications beyond ad hoc scripts. - Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or equivalents). - Hands-on experience with modern lakehouse/warehouse platforms (e.g. Snowflake, Trino/Starburst, or similar) and understanding of engine tradeoffs. - Experience in financial services and/or SaaS environments. - Comfort operating with minimal DevOps/IT support on core database and warehouse administration. - Proven mentorship and standards-setting experience; formal management not required. Requirements - Visa Sponsorship: This position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.
Tripadvisor, founded in 2000, is an award-winning network for travel information that features real advice from global travelers. The world’s largest travel s
Role Description Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You’ll bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk. What You’ll Do - Data Engineering & Data Products, ETLs: - Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. - Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. - Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. - Ensure enterprise data integrity, validation, documentation, and governance. - Platform & Software Engineering: - Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling. - Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. - Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). - Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. - Quality, Collaboration & Ownership: - Take on projects with independence and a mandate to leave things better than you found them. - Be integral to code quality on your team through leadership in design and code review. - Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions. - Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. - Work alongside engineering groups located around the world in a fast-paced, dynamic environment. Qualifications - 4–5+ years of data engineering or general software development experience in a commercial setting. - Strong hands-on proficiency in both Java and Python for production systems. - Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. - Proficiency in SQL and data exploration across large, complex datasets. - Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. - Solid foundation in data structures, algorithms, and object-oriented design. - Professional experience building REST services and working with event queue systems. - Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. - Systems performance and tuning experience, with an understanding of how architecture impacts scalability. - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. - Strong analytical skills; desire to write clean, correct, and efficient code. - Self-paced, organized, and detail-oriented with a strong sense of ownership, urgency, and pride in your work. - Ability to break down complex problems into simple, pragmatic solutions. - Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. - Willingness and ability to take on new technologies as our stack evolves. Nice to Have - Experience with stream processing frameworks such as Flink or Spark Streaming. - Experience with task orchestration tools such as Apache Airflow or similar systems. - Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. - Experience working with and designing infrastructures for large-scale data processing (Hive, Snowflake, NoSQL databases). - Experience with data governance practices and tooling. - Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. - Experience developing scalable code for high-volume, low-latency systems. Benefits - We strive to create an accessible and inclusive experience for all candidates. - If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at greenhouse@tripadvisor.com.
Carrington Mortgage Services-Wholesale Lending is part of The Carrington Companies. We provide third-party originators, mortgage brokers and financial institutions with access to government and conventional loan programs, as well as low credit score home financing and low down payment options. We hope you’ll consider joining our growing team of uniquely talented professionals as we transform residential real estate.
Role Description Come join our amazing team and work remote from home! Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business applications and business intelligence for the enterprise. Perform all duties in accordance with the company’s policies and procedures, investor guidelines, all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $140,000.00 to $160,000.00. - Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms. - Leads the creation of technical designs and functional specifications to ensure performance, scalability, and reliability while contributing to future cloud migration efforts. - Collaborates with stakeholders and third-party vendors to define, evaluate, and align business requirements for scalable data integration, reporting, and business intelligence solutions. - Leads the design and development of automated solutions to improve business processes, productivity, and operational efficiency. - Maintains ETL jobs and leads troubleshooting efforts for critical production issues, participating in the off-hours support rotation and providing SME assistance as needed. - Leads the design, implementation, and maintenance of data platforms, technical designs, and functional specifications to ensure performance, scalability, and reliability. - Develops and maintains comprehensive documentation of data processes, reports, applications, and procedures to ensure consistency, knowledge sharing, and alignment with organizational standards. - Designs, develops, and deploys scalable reporting and dashboard solutions to support business intelligence, data visualization, and operational efficiency, ensuring appropriate security measures. Qualifications - Advanced knowledge of working in the Microsoft SQL Server environment to design, implement, and optimize enterprise data solutions with a focus on scalability and performance. - Strong understanding of ETL concepts, data integration, and transformation processes, with practical experience implementing ETL solutions using Microsoft SSIS. - Working knowledge of version control concepts, with experience using Microsoft DevOps for managing code repositories and collaborative development. - Must have expert knowledge to lead and oversee SDLC processes. - Advanced expertise in T-SQL programming, scripting, and optimization techniques, with the ability to write, debug, and optimize complex queries and procedures for enterprise-level solutions. - Ability to understand, remember, and apply oral and/or written instructions or other information. - Demonstrates advanced analytical and problem-solving abilities to design and optimize complex data solutions while collaborating effectively across teams. - High school diploma or equivalent work experience, bachelor’s degree in computer sciences preferred. - Four (4) or more years of experience in the information technology field with a strong focus on relational databases, data integration (ETL), data warehousing, business intelligence, reports development, and dashboard design. - Four (4) or more years of experience with ETL tools – SSIS. - Four (4) or more years of experience with database management systems – MS SQL. - Strong working knowledge of integrating applications using APIs is preferred. - Experience with Microsoft BI applications (SSRS, SSAS, Power BI) is preferred. - Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory, Fabric, Snowflake, or Databricks) to lead and optimize data integration and transformation processes is a plus. - Proficiency in programming languages commonly used in data engineering, such as Python or Java. Benefits - Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed. - Access to several fitness, restaurant, retail (and more!) discounts through our employee portal. - Customized training programs to help you advance your career. - Employee referral bonuses so you’ll get paid to help Carrington and Vylla grow. - Educational Reimbursement. - Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. Company Description Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics. Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you’ll consider joining our growing team of uniquely talented professionals as we transform residential real estate.
Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, Platform you will be a key contributor to a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you'll be leveraging your technical expertise in all aspects of "Infrastructure as Code" (IaC) to enhance and build out our data platform. You will be working across teams, informing business decisions, helping to expand our platform, and define standards and best practices for platform use. What you'll do as a Senior Data Engineer, Platform - Demonstrate leadership and ownership of the platform to deliver services for projects and users. - Provide infrastructure guidance of data platform capabilities to accommodate business/technical use cases. - Leverage your strong communication skills to keep users informed and provide excellent quality of service. - Automate and manage provisioning needs, such as Snowflake storage and compute, Role Based Access Control model, and permissions. - Configure and manage monitoring/alerting around replication latency, performance (cluster & query), and Airflow. - Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. - Provide technical expertise, troubleshooting, and support for change management, governance compliance, internal audits, and remediations. What you'll bring: - A proven track record of administration, engineering, and operationalizing the Snowflake, Databricks or similar Cloud Data Platform. - Experience working in AWS, Terraform, CloudFormation, Python, and database replication tools/services (e.g., AWS DMS). - Experience working with CI/CD pipelines and deployment automation - Experience with a variety of data logging/monitoring tools, such as DataDog, - Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. - Experience writing software (preferably with Python) Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. If this job posting does not include compensation information, this is due to a technical error that our team is working to resolve! We will repost this position with compensation information as soon as it is resolved. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
b.well is on a mission to change the healthcare industry by empowering patients with their data to make informed decisions. We have partnered with some of the largest tech companies, pharmacies, health systems and insurers to ensure patient right of access to their data so patients and their health care providers can make better informed decisions about their health. We are building the first interconnected health network and we want you to join us to change healthcare for the better!
Role Description You'll set the technical direction for how b.well ingests, transforms, and delivers healthcare data at scale on our FHIR-based platform—owning our hardest problems (large-scale pipeline performance, data quality and de-duplication, terminology normalization, and reliable delivery of standards-conformant FHIR) and turning each solution into reusable frameworks the whole team builds on. This is an AI-native role: you'll pair first-principles engineering rigor with modern agentic tooling—coding agents such as Claude Code and reusable AI skills—to ship faster and turn raw health data into trustworthy, reasoning-ready health data intelligence. What You'll Do: - Work AI-Native & Set the Bar - Make coding agents (e.g., Claude Code) and reusable AI skills a first-class part of how the team engineers—shipping faster by automating the repetitive and amplifying the hard parts. - Bring the rigor to know when to trust an agent, when a deterministic rule-based approach wins, and how to keep AI-generated code correct, tested, and PHI-safe. - Package engineering and data-quality judgment into reusable tooling the whole team applies consistently. - Build & Scale Healthcare Data Solutions - Own the end-to-end architecture of large-scale pipelines that transform raw source data into clean, standards-conformant FHIR. - Diagnose and eliminate performance and scaling bottlenecks in distributed processing so jobs run faster and more cost-efficiently. - Set standards for data quality, de-duplication, patient/record linking, and terminology normalization; drive reliable, idempotent delivery at production volume. - Build automated testing and validation for data quality and FHIR conformance. - Lead, Secure & Mentor - Set technical direction across ingestion, transformation, and delivery, and define the frameworks and standards that accelerate the team. - Champion PHI-safe engineering and uphold HIPAA, 21st Century Cures Act, and ONC/CMS compliance across the platform. - Mentor senior and mid-level engineers, and represent b.well in relevant standards and industry discussions. Qualifications - 8+ years in data engineering, health IT, or healthcare interoperability—with a Staff-level track record of owning systems, not just tasks. - Proven production experience building large-scale health-data pipelines and owning a complex platform end-to-end, including its hardest performance and correctness problems. - Experience defining frameworks and standards that measurably accelerated a team. - AI-native engineer: you already ship with coding agents (e.g., Claude Code) and reusable AI skills, and can raise the whole team's leverage without compromising engineering rigor. Requirements - Distributed data engineering: Apache Spark / PySpark at scale (partitioning, performance and memory tuning); lakehouse tooling such as Databricks and Delta Lake; schema evolution; batch and streaming pipelines. - Pipelines & languages: ETL/ELT, CDC, incremental/delta and idempotent processing; strong Python (required) and SQL; Git, CI/CD, and automated testing. - FHIR & standards: HL7 FHIR R4 (resources, profiles, Bundles), US Core / USCDI, and HL7 v2.x / C-CDA to FHIR conversion. - Terminologies & payer data: SNOMED CT, LOINC, RxNorm, ICD-10, CPT, CVX and crosswalks; claims, coverage, and eligibility data models. - Compliance: HIPAA, 21st Century Cures Act, ONC certification, and CMS Interoperability Rule. Benefits - The target salary range for this position is $180,000 - $220,000 annually. - Part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. - Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. - Annual review of employee pay and compensation programs to ensure competitive and fair pay. Company Description b.well is solving healthcare's fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action—whether it's scheduling care, setting reminders, accessing health data, and more. For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.
An online platform to test and advance your skills in penetration testing and cybersecurity. #ThinkOutsideTheBox
Role Description Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. ✨The core mission of the Senior Data Engineer: - Own and evolve data pipelines on GCP. - Build new pipelines, harden existing ones, and improve data quality. - Make clean, trustworthy data available across the organization. - Work end-to-end on streaming and batch pipelines. - Design ELT/ETL processes on BigQuery and ClickHouse. - Build real-time pipelines on Pub/Sub and Kafka with Dataflow. - Orchestrate workflows with Airflow. - Ensure data is properly cleaned, modeled, and served for analytics, ML training, and online inference. - Partner with ML engineers on feature pipelines and monitoring data drift. - Consume and build REST APIs and integrate with third-party SaaS sources. - Treat infrastructure as code. Qualifications - Strong data modelling and warehouse architecture skills. - Hands-on experience with GCP data services. - Production experience with streaming pipelines. - Solid SQL and strong Python skills. - Experience with ClickHouse or another columnar OLAP engine. - Workflow orchestration experience with Airflow. - Comfortable with dbt or equivalent transformation frameworks. - Experience migrating off legacy warehouses onto cloud-native stacks is a plus. - Working knowledge of ML in production. - Docker & Kubernetes experience. - CI/CD mindset and infrastructure-as-code sensibility. Requirements - Design and build batch and streaming pipelines on Dataflow, Pub/Sub, and Kafka. - Drive the migration off Snowflake onto GCP-native stack. - Own the orchestration layer in Airflow. - Model data for analytics and ML. - Partner with ML engineers on feature stores and retraining workflows. - Capture requirements from stakeholders and translate them into data products. - Continuously improve data quality, reliability, observability, and cost efficiency. - Identify new data sources worth acquiring and integrate them cleanly. Benefits - Compensation: $140,000-160,000. - Medical, Dental & Vision (employee coverage 100% paid). - 401K with employer match. - Employer-paid Life and AD&D Insurance. - Supplemental Life Insurance. - Short-term and Long-term Disability. - Healthcare and Dependent Care FSA. - Paid parental leave. - 25 annual leave days. - Home Office Allowance. - Dedicated budget for training and professional development. - State-of-the-art equipment. - Full access to the Hack The Box lab offerings.
3,188more opportunities are still waiting for you.Log in now and take your next shot before someone else does.
ETL, SQL, Python, Data Engineering, Snowflake, AWS
