Note: The job is a remote job and is open to candidates in USA. AbsoluteCare is hiring a Lead Data Engineer to design, build, and optimize scalable data pipelines and architecture supporting its business goals. The role provides technical leadership, develops healthcare data solutions, and collaborates across teams on analytics, reporting, and data infrastructure modernization.
Responsibilities
- Architect and maintain robust data infrastructure, including ETL pipelines, data lakes, and data warehouses
- Lead the development and optimization of data pipelines for healthcare payer and clinical data
- Ensure data quality, governance, and compliance with HIPAA and other healthcare regulations
- Oversee system interoperability and data replication frameworks, including API integrations and cloud migration strategies
- Mentor and guide junior and mid-level data engineers
- Assign and manage responsibilities across multiple initiatives (e.g., HealthCare data feeds, HIE feeds, data pipelines, member hub, AI initiatives)
- Collaborate with cross-functional teams including Clinical, Risk Adjustment, and Quality to align data solutions with care delivery models
- Support predictive analytics, risk stratification, and member impactability modeling
- Drive automation and standardization of data processes to improve operational efficiency
- Contribute to roadmap planning for data warehouse modernization and cloud enablement
- Interpret healthcare data to translate requirements into IT solutions
- Relate disparate data sets to extract actionable insights
- Support business needs through the development of ad-hoc and standardized reports as requested by the executive leadership team, as well as internal and external customers
- Troubleshoot and align the reporting needs of end users to available data sets
- Maintain the security and privacy of all information that is owned by AbsoluteCare or maintained on behalf of the company’s patients, employees, and business partners
Skills
- Bachelor's degree in business, information technology, statistics, mathematics, health sciences, or related field or equivalent work experience required
- 5+ years of experience in data engineering
- Proficient in SQL, Python, ETL tools, Orchestration Tools within Microsoft stack
- Intermediate proficiency with Microsoft Excel required
- Strong ability to translate business needs into technical solutions
- Highly organized with strong documentation skills
- Effective communicator with both technical teams and executive leadership
- Skilled in documentation, stakeholder engagement, and cross-departmental coordination
- Capable of successfully balancing numerous and competing priorities
- Passion for data and the act of transforming data to achieve results
- At least 1-2 years in leadership role
- Preferred 3+ years of health care data experience with deep understanding of healthcare data structures like Claims, Eligibility, HIEs, EHRs)
Benefits
- Remote work
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