Sr ETL Specialist/ETL Engineer/ETL Developer

Benefits:

• 401(k) matching
• Competitive salary
• Health insurance
• Paid time off

About this Role:

The Senior ETL Specialist / ETL Engineer will support enterprise data integration and modernization efforts for the U.S. Department of Health and Human Services (HHS). The role is responsible for designing, developing, and maintaining Extract, Transform, Load (ETL) processes that enable secure, accurate, and reliable data movement across federal systems and mission-critical programs. The ETL Specialist will work as part of a data engineering and analytics team to support data warehousing, business intelligence (BI), and enterprise reporting initiatives.

The ideal candidate will possess deep ETL development expertise, strong SQL and data modeling skills, and experience in enterprise data management solutions. This role requires the ability to build scalable data pipelines, optimize data flows, and ensure data integrity across multiple platforms. Experience in a federal environment and knowledge of HHS mission priorities are highly desirable.

Key Responsibilities:

ETL Development & Data Integration

• Design, build, and maintain scalable ETL/ELT pipelines to support enterprise data warehouse (EDW) and analytics environments.
• Develop data ingestion and transformation routines from multiple structured and unstructured data sources.
• Implement ETL solutions using tools such as Informatica, Talend, SSIS, Azure Data Factory, AWS Glue, or ODI.
• Create reusable components, frameworks, and data integration templates to accelerate delivery.
• Ensure ETL workflows are optimized for performance, maintainability, and reliability.

Data Engineering & Architecture Support

• Collaborate with data architects and analysts to define data models (conceptual, logical, physical).
• Support integration across enterprise applications including financial, HR, grants, and program systems.
• Implement data quality rules, validation logic, and exception handling procedures.
• Support Master Data Management (MDM) and metadata initiatives.
• Implement best practices for ETL/data integration architecture aligned with enterprise data strategy.

Testing, Optimization & Production Support

• Conduct data profiling and validation to ensure ETL output accuracy.
• Perform unit testing, integration testing, and UAT validation for ETL solutions.
• Troubleshoot ETL failures, investigate root causes, and deploy corrective measures.
• Optimize ETL workflows for high performance and reduced processing time.
• Provide production support and participate in on-call rotation as necessary.

Documentation & Collaboration

• Develop and maintain ETL documentation including design specifications, data flow diagrams, and data lineage documentation.
• Collaborate with analysts, developers, database administrators, and federal stakeholders.
• Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.
• Support data governance, data security, and compliance initiatives.

Qualifications and Skills:

• U.S. Citizen with ability to obtain and maintain a Public Trust clearance.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 7+ years of experience in ETL development, data engineering, or enterprise data integration.
• Hands-on experience with ETL tools such as Informatica PowerCenter/IDQ, Talend, SSIS, ADF, AWS Glue, or DataStage.
• Strong proficiency in SQL and relational databases (Oracle, SQL Server, PostgreSQL, or Snowflake).
• Experience with data warehousing concepts (star schema, slowly changing dimensions, data marts).
• Proven experience creating high-performance, secure ETL processes.
• Experience working in Agile or SDLC-driven environments.
• Excellent communication and problem-solving skills.

Desired Skills and Competencies:

• Prior experience supporting HHS or other federal agencies (CMS, NIH, HRSA, ACF, FDA).
• Experience building ETL solutions in cloud environments (AWS, Azure, or GCP).
• Familiarity with data governance, metadata management, and data catalog tools.
• Experience with Python, Shell scripting, or PowerShell for automation.
• Knowledge of API-based integrations, Kafka, or streaming data pipelines.
• Experience with DevOps tools (Git, Jenkins, Azure DevOps).
• Certifications such as Informatica Developer, Talend Data Integration, AWS Data Analytics, Azure Data

Flexible work from home options available.