Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Engineer to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role designs, builds, configures, and maintains secure and reliable data pipelines, data structures, and integration workflows that enable analytics, reporting, and operational insight across IHSC's clinical, operational, and administrative domains. All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments This position follows a remote delivery model supporting IHSC/HITU, consistent with current program operations. Location: Washington, DC Metro Area (Remote) Clearance: Public Trust - Preliminary and Complete Fitness Determination Required Employment Type: Full-Time Status: Contingent Upon Contract Award Minimum Qualifications: • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field • Minimum 5 years of data engineering experience, including at least 2 years in federal health IT or healthcare data management • Advanced experience with SQL, relational databases, and data modeling • Experience designing ETL/ELT pipelines and data integration workflows • Proficiency with Python and cloud-based analytics/data platforms (AWS, Azure) • Strong analytical, problem-solving, and documentation skills Requirements Preferred Qualifications • Prior experience with DHA, VA, or HHS data environments • Cloud certification (AWS Solutions Architect, Azure Data Engineer) • Experience with canonical data modeling, semantic normalization, and metadata cataloging for large-scale federal health repositories • Experience collaborating with Data Strategists, Data Analysts, and Solutions Developers in a federal environment Key Responsibilities • Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems • Support enterprise analytics platforms by optimizing data models, schemas, and performance for reporting and dashboarding • Implement data validation, reconciliation, and quality control processes • Support integration of healthcare, operational, and administrative data sources in alignment with enterprise data strategy • Collaborate with Data Strategists, Data Analysts, and Solutions Developers to enable analytics use cases • Maintain documentation for data architectures, pipelines, transformations, and dependencies • Support data governance initiatives, including metadata management, auditability, and lineage tracking • Ensure data solutions comply with federal security, privacy, and compliance requirements Benefits: At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes: Competitive compensation aligned with experience and market conditions 401(k) retirement plan with company matching to support long-term financial security Comprehensive health coverage, including medical, dental, and vision insurance Health Savings Account (HSA) and Flexible Spending Account (FSA) options Life insurance coverage for added peace of mind Generous paid time off (PTO) to support work-life balance Parental leave for growing families Professional development assistance, including training and certification support Tuition reimbursement to encourage continued education and career advancement Our benefits reflect Red Pulley’s commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive. Affirmative Action/EEO statement Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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