This page tracks remote data engineer openings that are location-eligible for Maine.
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Bloomerang helps nonprofits deliver a better giving experience so they can raise more funds and create lasting change.
• Design and ship production pipelines on Databricks, using a medallion architecture grounded in Data Vault 2.0 modeling patterns. • Build and harden the curated and presentation layers—driving donor lifetime value, retention, lapse risk, and campaign ROI. • Resolve identity across products to compute values on one trustworthy record. • Move toward near-real-time data and partner with architects on Change Data Capture. • Extend existing tracing and AI lifecycle tooling into ETL. • Partner with AI and product engineers to ensure data is properly shaped for applications. • Use AI tools in daily development tasks. • Raise the bar on engineering standards, addressing testing, idempotency, documentation, and security.
Role Description Gritter Francona is looking for a Data Modeler to provide technical expertise in the design, development, implementation, and maintenance of enterprise data models supporting the Veterans Health Administration (VHA) Veterans Family Member Program (VFMP) Modernization Portfolio. This role is responsible for designing logical and physical data models that enable modernization initiatives, improve operational efficiency, and ensure the integrity, accessibility, and security of enterprise data. The Data Modeler works closely with business stakeholders, architects, application developers, Electronic Data Interchange (EDI) specialists, and Integrated Project Teams (IPTs) to develop scalable data solutions that support VFMP's modernization objectives. The role ensures that data architecture supports high-volume business operations, system interoperability, and long-term maintainability while enabling accurate reporting, performance measurement, and informed decision-making. - Design, develop, and maintain conceptual, logical, and physical data models that support the VFMP Modernization Portfolio. - Produce comprehensive database design documentation, including entity relationship diagrams, data models, data dictionaries, metadata definitions, and data flow diagrams. - Analyze business requirements and translate them into scalable, efficient, and maintainable database designs. - Evaluate and configure database technologies to align user requirements with system capabilities, performance objectives, and operational needs. - Determine appropriate database structures, file organization, indexing strategies, partitioning methods, and storage optimization techniques. - Define and implement database security, data integrity, and access control procedures consistent with VHA and Federal information security requirements. - Plan, coordinate, and support the migration and conversion of legacy databases into modernized environments while preserving data quality and integrity. - Collaborate with application development, systems engineering, and EDI teams to ensure data models support provider, eligibility, claims, and related transaction processing. - Support modernization initiatives that improve efficiency across high-volume business operations, including: - Beneficiary enrollment - Claims adjudication - Appeals processing - Benefits coordination - Care coordination - Pharmacy support - Nurse review - Processing of non-standard customer requests - Ensure data models enable modernization objectives by supporting: - Inventory management within established Key Performance Indicators (KPIs) - Processing timeliness as operational volumes increase - High levels of data accuracy and integrity - Enterprise performance measurement and reporting - User-friendly and maintainable solutions for VFMP and VHA - Collaborate with Integrated Project Teams (IPTs), business analysts, solution architects, database administrators, and vendors to ensure consistent enterprise data architecture. - Identify opportunities to improve data quality, reduce redundancy, standardize data definitions, and enhance enterprise data governance. - Support testing, validation, and quality assurance activities to ensure data models function as intended within enterprise applications. - Document data standards, modeling conventions, database architecture, and migration procedures to support long-term system maintenance. Qualifications - Bachelor's degree - Must have practical field experience in the last year, with a minimum of four (4) years federal healthcare work experience. - Experience in data modeling methodologies, including conceptual, logical, and physical data modeling. - Previous experience with VHA or other Federal healthcare information systems and modernization initiatives. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development
Appfire is a computer software company that has been recognized as a “global authority” on Atlassian products and software. As an employer, the company aims
Role Description Data is the fuel behind Appfire's global footprint. We’ve grown fast, and now our focus has shifted toward building the most mature, high-performing data platform in our industry. We are looking for a Senior Data Engineer to take ownership of our core infrastructure, champion engineering excellence, and help shape the future of our data ecosystem. Leveraging your expert Python, SQL, and cloud infrastructure skills, you will develop pragmatic architectures that ensure stability and performance across the organization. As a key member of our central data insights team, you will evolve our custom data lake ("firelake" built on AWS and Snowflake). To accelerate our platform optimization efforts, you will ruthlessly eliminate technical debt, resolve edge cases, and introduce modern, AI-driven development practices. This isn't just about maintaining pipelines; it's about architecting a highly secure, resilient, and scalable foundation that empowers company-wide decision-making. If you love solving complex data puzzles, driving overarching data strategy, and seeing the direct impact of your work across an entire organization, let's talk. Qualifications - 5+ years in a data or software engineering role with a deep understanding of the full data lifecycle, modern data warehousing, and agile software development best practices. - 5+ years of experience autonomously building scalable data products, pipelines, and solutions that support company-wide systems and overarching business goals. - Exceptional personal organization and multitasking skills, with the ability to work with minimal supervision while driving 3-5 concurrent cross-departmental projects. - 5+ years of advanced SQL optimization and complex ETL/ELT pipeline development, with extensive, hands-on experience in Snowflake. - 5+ years of advanced Python programming. - 5+ years of experience designing and maintaining AWS cloud environments. Strong, hands-on proficiency with Terraform and Docker is required. - Deep operational experience with Airflow for orchestration, dbt (3+ years) for transformation, and familiarity with managing Fivetran pipelines. - Proven ability to design pragmatic, cost-effective architectures from scratch that prioritize security, scalability, and high performance without over-engineering. - Incredibly strong troubleshooting skills with a ruthless dedication to reducing technical debt, optimizing CI/CD pipelines, and enforcing strict version control and testing standards. - Solid understanding of modern data governance principles, including automated data classification, PII masking, and row/column-level access controls. - Strong written and verbal skills, with a proven ability to translate and simplify complex technical architectures to both engineering peers and non-technical business stakeholders. - A team-oriented mindset with a passion for coaching and providing constructive feedback to junior team members. Requirements - Own the complete solution development lifecycle, from driving initial requirements to building Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and continuously iterating to improve and scale production solutions. - Work closely with internal and external partners to stand up and optimize robust data delivery solutions. Build, manage, and scale complex data pipelines (ETL and reverse ETL) utilizing expert-level Python and Airflow. - Develop standard integration patterns as well as custom data pipelines that interface with atypical APIs to efficiently extend our data delivery capabilities. - Architect and maintain highly efficient, cost-effective scalable data solutions and cloud infrastructure from scratch. - Be the key driver in the evolution of our custom data lake ("firelake" built on AWS/Snowflake), serving as the ultimate subject matter expert on our tech stack and data infrastructure. - Manage Fivetran and custom pipeline operations, proactively handle schema drift, and implement rigorous data quality checks to ensure we have ingested a true and accurate representation of all source systems. - Spearhead AI adoption in our daily engineering workflows to automate Pull Requests, enforce new "definition of done" standards, and accelerate CI/CD, test coverage, and release management. - Drive the integration of AI capabilities directly into our data solutions by interfacing with LLMs and developing intelligent assistants and agents to solve complex business problems. - Stay on the forefront of the rapidly evolving data landscape and drive proof-of-concepts for new tools to ensure we leverage best-in-class technologies to scale quickly. - Implement advanced PII management by leveraging automated data classification techniques, applying masking policies, and enforcing sophisticated row-level and column-level security practices. - Develop and deploy robust monitoring solutions and governance strategies to ensure accurate, secure data is available on time and to the correct audience. - Autonomously lead 3-5 concurrent cross-departmental data projects, driving everything from requirements gathering and UAT to production deployment. - Partner seamlessly with business, analytics, and engineering teams, translating complex technical architectures into relatable concepts to influence stakeholders and align goals. - Champion best practices, systematically reduce technical debt, write clear documentation, and provide both technical and soft-skill mentorship to junior team members. Benefits - Work in a product-first SaaS B2B environment focused on building and scaling solutions for large enterprise customers. - Deliver meaningful, high-impact work that directly influences product direction and customer success. - Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. - Employees receive 25 days of paid time off per year. After 5 years of employment, employees receive 30 days per year. - Appfire provides comprehensive coverage through Empire Health, including medical, dental, and vision insurance. Additional protection includes life insurance, critical illness coverage, accidental death and dismemberment, and long-term disability insurance. - To promote health and well-being, Appfire offers a yearly sport allowance of CAD 600, which can be used to cover the cost of various fitness or outdoor activities from gym memberships to sports equipment. - Every employee receives 3 fully paid days each year to participate in Appfire Town, our Corporate Social Responsibility (CSR) program supporting local communities.
Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide.
Role Description We are looking for a Data Engineer/ Data Modeler to support the design and implementation of a modern Azure-based data platform. The ideal candidate combines strong hands-on data engineering skills with the ability to work closely with business stakeholders, structure unclear requirements, and translate them into scalable data models. The role is especially suitable for someone with experience in: - Azure Synapse - Azure Data Factory - Python/ PySpark - SQL - SAP source systems - Data warehousing - Power BI reporting enablement Key Responsibilities - Analyze and clarify business requirements from scattered or incomplete documentation - Work directly with business departments to align requirements, data definitions, and reporting needs - Translate business requirements into conceptual, logical, and physical data models - Design and implement data models for: - Silver layer: normalized / 3NF model - Gold layer: dimensional / star schema model - Build and maintain medallion architecture in Azure Synapse, including silver and gold tables - Develop data transformations and pipelines using Azure Synapse, Azure Data Factory, SQL, Python/ PySpark - Integrate data mainly from SAP source systems - Support data cataloging, governance, and lineage through Microsoft Purview - Use Azure DevOps for repository management, CI/CD, and project tracking - Enable reporting and analytics through well-structured datasets for Power BI Qualifications - Strong experience with Azure cloud data platforms - Hands-on experience with: - Azure Synapse - Azure Data Factory - Python/ PySpark - SQL - Data Lake/ Lakehouse architectures - Solid understanding of data modeling: - 3NF / normalized models - Star schema/ dimensional modeling - Data warehouse design - Experience working with SAP source systems - Ability to translate business requirements into technical data models - Experience with Git-based development and CI/CD, ideally in Azure DevOps - Good understanding of reporting needs, ideally with Power BI - Strong communication skills and ability to work with both business and technical stakeholders Requirements - A significant advantage would be: - Experience with Microsoft Purview - Experience in enterprise reporting, forecasting, or analytics platforms - Background in SAP-heavy enterprise environments - Experience with agile delivery and tools such as Jira/ Azure DevOps - Microsoft data engineering certification is a plus Benefits - Diversity, equity and inclusion - Sustainability Additional Information At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Stay alert to recruitment scams: - Tieto only communicates via @tieto.com email addresses. - We never ask candidates to pay fees or share financial details during recruitment. - If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site. - For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog Remote Type Remote Job Area Application and Product Development Business Unit Tech Consulting
Consumer Direct Care Network is a healthcare services company committed to “advancing the philosophy of self-direction" through community-based and in-home se
Title: IT Data Engineer III Location US - Remote Remote/Hybrid Yes Position Level Individual Contributor III Employment Type Full time Career Field Information Technology Pay Type Annually Pay Range $ 117,000 - $ 124,000 Description & Requirements Culture Vision at Consumer Direct Care Network At CDCN, we strive to create a workplace where everyone is supported and motivated to be their best; we collaborate on shared goals and celebrate our accomplishments. WE WELCOME YOU INTO A GROWING COMPANY Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities. JOB SUMMARY IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across modern cloud platforms. This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native technologies. The IT Data Engineer III serves as a technical expert and mentor, guides ad hoc teams, and leads efforts to improve data workflows, architecture, and integration across the organization. This position requires deep technical expertise in Azure data platforms including Fabric and Synapse Analytics, strong collaboration skills, and the ability to communicate effectively with both technical and non-technical stakeholders. JOB DUTIES - Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data integration pipelines used for analysis and reporting, leveraging Azure Fabric, Azure Synapse Analytics, and related Azure data platform technologies. - Design and implement scalable ETL/ELT (extract, transform, load) solutions across enterprise systems, leveraging advanced data engineering tools and technologies including Azure Data Factory, Databricks, and serverless data processing platforms. - Architect and optimize dimensional data models including fact tables, dimension tables, and slowly changing dimensions to support analytics and reporting requirements. - Lead response efforts to stakeholder data needs and system issues, serving as the primary technical contact for complex or escalated requests and ensuring alignment with business requirements and regulatory compliance. - Troubleshoot and resolve high-priority issues during regular business hours and as part of the after-hours on-call rotation, ensuring critical data systems remain operational and performing optimally. - Guide ad hoc teams in analyzing and improving data processes, system performance, and cost-efficiency through technical innovation, process redesign, and optimization of cloud infrastructure costs. - Provide technical mentorship and direction to peers and junior engineers across data projects and ongoing operations, fostering continuous learning and technical excellence. - Collaborate with engineers, analysts, and business partners to ensure that solutions align with strategic business goals, regulatory requirements, and industry best practices. - Implement and maintain data quality frameworks, validation rules, and monitoring mechanisms to ensure data accuracy, consistency, and reliability across enterprise systems. - Lead technical design reviews and code reviews, establishing and enforcing data engineering standards, best practices, and architectural principles. - Perform other duties as assigned, including leadership of special projects or enterprise-level initiatives. QUALIFICATIONS Education & Experience: - Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Mathematics, or a related field required; equivalent professional experience will be considered. - 5–9 years of experience designing, developing, and supporting data platforms and enterprise data warehouse systems in production environments. - Proven ability to lead and serve as a technical expert on small to medium-sized projects and cross-functional initiatives. - Demonstrated experience mentoring junior engineers and contributing to team technical development. Core Technical Skills: - Expert-level experience with Azure Fabric including lakehouse architecture, notebooks, Delta Lake, data pipelines, and data warehouse design. - Deep hands-on experience with Azure Synapse Analytics including dedicated SQL pools, serverless SQL pools, Synapse pipelines, and performance optimization. - Expert-level SQL scripting with advanced proficiency in writing complex queries, stored procedures, query optimization, and performance tuning. - Deep experience in ETL/ELT development and data pipeline architecture across enterprise systems. - Advanced dimensional data modeling expertise including star schema, snowflake schema, fact tables, dimension tables, and slowly changing dimensions. - Expert-level experience with cloud data platforms such as Azure (primary), AWS, or Oracle Cloud. - Extensive hands-on experience with tools and technologies including Azure Data Factory, Azure Fabric, Azure Synapse Analytics, Databricks, Azure Data Lake Storage Gen2, Azure DevOps, SSMS, and Power BI. - Expert-level understanding of data structures and data exchange formats including ANSI X12, JSON, XML, and industry-standard data formats. - Proficiency in Python or PySpark for data processing and transformation tasks. DevOps & Engineering Practices: - Strong experience with version control systems (Git) and CI/CD practices for data engineering. - Familiarity with infrastructure as code (Terraform, ARM templates, or Bicep). - Experience implementing data quality frameworks and automated monitoring/alerting mechanisms. - Knowledge of data governance, security best practices, and regulatory compliance requirements. - Professional & Interpersonal Skills: - Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical audiences. - Strong problem-solving skills, attention to detail, and ability to manage multiple priorities under pressure. - Able to work independently or as a team lead, taking full ownership of technical solutions from design through implementation and support. - Proven ability to mentor peers and junior engineers, contributing to technical team development. - Ability to work effectively on-call and respond to critical production issues with urgency and professionalism. Machine Learning & AI (Preferred Qualifications): - Experience with Azure Machine Learning including model training, deployment, and inference pipelines integrated into data workflows - Familiarity with MLOps practices including model versioning, monitoring, retraining workflows, and model governance - Understanding of feature engineering and the role of data pipelines in preparing data for machine learning applications - Experience with Databricks ML features including MLflow and distributed model training - Knowledge of AutoML and automated feature selection tools within the Azure ecosystem - Experience implementing model monitoring and performance tracking in production environments - Familiarity with responsible AI principles including bias detection, explainability, and ethical AI considerations - Understanding of A/B testing frameworks and experimentation workflows in data-driven applications Other Requirements: - Must be able to successfully pass a background screening. - Willingness to maintain and expand technical certifications relevant to Azure data platforms. - Ability to work flexible and/or extended hours, if needed, to meet the job requirements. - Employees must provide their own reliable internet if working a remote/hybrid position The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT'S IN IT FOR YOU When you join Consumer Direct Care Network, you will be exposed to numerous professional development opportunities. We welcome your contributions and value your integrity as we collaborate on work that moves us all toward a compassionate community. We have a long history of helping individuals build their careers in the home-care industry. This is truly a place where there is something for everyone, whether you are looking to support a particular lifestyle, seeking professional growth, or seeking new and challenging work, all in an expanding nationwide company with that small-company feel. Most importantly, you will experience the satisfaction of working in a culture built on caring. Caring for others comes naturally at Consumer Direct Care Network, based on our long history of connecting people and championing change, all geared toward helping others. We are proud of the longevity and loyalty of our employees. Their commitment to doing good work is what makes us a leader in the industry. As a Consumer Direct Care Network team member you will receive: - A rewarding career helping others - Fun and engaging work environment built on team unity - Job satisfaction knowing you make a difference in the work you do and lives we serve - Professional training to help advance your skills for career development Based on your position and employment status, you may be eligible for: - Medical, Dental, and Vision Insurance - Vacation accrued at 3.07 hours per pay period to use when accrued - Two Paid Floating Holidays - Nine Paid Federal Holidays - Paid Safe Sick Time accrued at 1 hour per 30 worked to use when accrued - Instant Earnings Option - 401(k) Retirement plan & discretionary company match - Company-Paid Life Insurance - Supplemental Life, Accident, Critical Illness, and Hospital benefits - Short and Long-Term Disability - Paid Parental Leave - Flexible Spending Account - Employee Assistance Program - Pet Insurance WHO WE ARE Consumer Direct Care Network specializes in home and community-based services that assist older adults and individuals of all ages with disabilities and impairments to continue to live their lives independently in their own homes and communities. We provide coordinated service delivery in 14 states. Our services span from financial management services and support brokerage to traditional agency in-home care and caregiving to behavioral health. We have extensive experience with Medicaid, Medicare, private insurance, and with supporting people who pay for their own care. Your opportunities within our network are endless, it’s not just a job, it’s a career… advance it with the Consumer Direct Care Network! The Consumer Direct Care Network and its subsidiaries are an Equal Opportunity Employer and drug-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In accordance with the Immigration and Reform Control Act (IRCA), you may only work at Consumer Direct Care Network if you are legally authorized to work in the United States. Consumer Direct Care Network does not provide visa sponsorship or STEM OPT extensions to employees.
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.
Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Role Description Leidos is seeking a Data Engineer to support CDC DHP data modernization, analytics, and cloud-based data management initiatives. This role provides hands-on technical expertise for development, migration, testing, validation, and sustainment of analytical workflows supporting surveillance, research, reporting, and operational activities. - Design, develop, and maintain scalable data pipelines and integration solutions. - Support migration and modernization of SAS-based analytics and reporting workflows. - Develop ETL/ELT processes and cloud-based data engineering solutions. - Implement automated testing, validation, and monitoring processes. - Support data ingestion, transformation, and delivery across multiple analytical environments. - Develop reusable code, technical documentation, and deployment procedures. - Collaborate with architects, analysts, and program stakeholders to support modernization objectives. Qualifications - Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related discipline. - 5+ years of experience in data engineering, analytics, software development, or cloud-based data management. - Strong SQL skills. - Hands-on experience with Python, R, SAS, PySpark, or comparable technologies. - Experience developing ETL/ELT processes and data pipelines. - Strong troubleshooting and problem-solving skills. - Ability to obtain/maintain a Public Trust Security Clearance. Requirements - Experience supporting CDC, HHS, or public health data systems. - Experience supporting SAS-to-Python, SAS-to-R, or similar modernization initiatives. - Experience with EDAV (Databricks, Azure Data Factory, Delta Lake, R Studio, PowerBI, Tableau), 1CDP (Palantir Foundry), Azure SQL, Azure DevOps, or similar platforms. - Experience supporting migration from SAS to other analytics solutions (e.g., R, Python, Databricks, Palantir Foundry). - Experience supporting dual-run validation, equivalency testing, and controlled migration approaches. - Experience with Git, CI/CD, DevOps, and cloud deployment practices. Benefits - Preferred Certifications: Databricks Data Engineer Associate/Professional, Azure Data Engineer Associate (DP-203), Azure AI Engineer Associate, or equivalent. - Master's degree preferred. Company Description If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
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.
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SQL, ETL, Python, Azure, PySpark, AWS
