Health IT Data Engineer — Secure Analytics Pipelines

Aptive; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Aptive is seeking a Health IT Data Engineer to support IHSC HITU IT modernization and enterprise data environments. You will design, build, configure, and maintain secure data pipelines and structures enabling analytics across clinical, operational, and administrative domains.

The role uses Python, SQL, and ETL/ELT frameworks to optimize data models and ensure data quality, under Government oversight and with required authorizations for deployment. This is a Key Personnel position.

Qualifications

• Advanced SQL, relational databases, and data modeling experience.
• Experience designing ETL/ELT pipelines and data integration workflows, including scripted development (e.g., Python).
• Familiarity with cloud-based analytics and data platforms.
• Understanding of healthcare or enterprise data environments.
• Strong analytical, problem-solving, and documentation skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines from multiple sources.
• Optimize data models, schemas, and performance for reporting and dashboards.
• Implement data validation, reconciliation, and quality control processes.

Skills

SQL & Data Modeling

Relational Databases

Python Scripting

ETL/ELT Pipelines

Cloud Analytics

Stakeholder Collaboration

Regulatory Compliance

Education

Bachelor's in Computer Science/IS

Tools

Power BI

Tableau

Job description

Aptive is seeking a Health IT Data Engineer to support IHSC HITU IT modernization and enterprise data environments. You will design, build, configure, and maintain secure data pipelines and structures enabling analytics across clinical, operational, and administrative domains.

The role uses Python, SQL, and ETL/ELT frameworks to optimize data models and ensure data quality, under Government oversight and with required authorizations for deployment. This is a Key Personnel position.