Healthcare Data Engineer
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Job Description
Healthcare Data Engineer developing secure data systems for clinical analytics at Habitat Health. Collaborating on data pipelines and governance in a HIPAA-regulated environment.
Responsibilities:
- Support the development and maintenance of secure, scalable data systems that enable clinical, operational, and financial analytics in a HIPAA‑regulated environment.
- Contribute to building and operating data pipelines that ingest, transform, and standardize data from internal and external healthcare sources such as EHRs, claims vendors, and SDOH APIs.
- Work closely with analysts and business stakeholders to understand requirements and help create reliable, analytics‑ready datasets and basic data models.
- Assist in documenting data processes and governance practices, including data lineage, access controls, and handling procedures for sensitive health information.
- Participate in data quality efforts by implementing validation checks, monitoring data flows, and helping identify anomalies that could impact downstream analytics.
- Help develop and maintain reusable dbt models and shared data transformations, with exposure to open healthcare data models like Tuva, OMOP, or FHIR.
- Collaborate with senior engineers to improve infrastructure and team processes, taking on increasing responsibility as skills grow and the data engineering function expands.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, or related technical field.
- Experience with data engineering concepts through internships or 3+ years in a related technical role.
- Familiarity with at least one cloud platform (Azure preferred) and a willingness to learn cloud‑based data tools and services.
- Understanding of data architecture principles and interest in learning how to design scalable, secure, and cost‑efficient systems.
- Exposure to building or maintaining data pipelines using tools like Airflow or Prefect.
- Ability to work with structured and unstructured data sources, including files, APIs, and common data transfer methods.
- Solid foundational Python and SQL skills, with the ability to write clean, maintainable code and eagerness to grow into more advanced development.
- Ability to leverage (not rely on) AI coding tools like Claude Code/Github Copilot/Cursor.
- Awareness of data governance, access controls, and security best practices.
- Comfortable working independently on well‑defined tasks.
- Alignment with our mission and values, and enthusiasm for contributing positively to the team’s culture and daily practices.
Benefits:
- medical/dental/vision insurance
- short and long-term disability
- life insurance
- flexible spending accounts
- 401(k) savings
- paid time off
- company-paid holidays
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