Note: The job is a remote job and is open to candidates in USA. Harnham is partnering with a healthcare services and value-based care organization focused on improving care for older and medically vulnerable adults. The Senior Data Engineer will build a greenfield AWS data platform and enterprise data warehouse, develop Airflow-based pipelines, integrate healthcare data sources, and establish engineering, governance, and security standards to support clinical, operational, and analytical capabilities.
Responsibilities
- Design and build a scalable cloud data platform and enterprise data warehouse
- Architect, develop, and manage production data pipelines within AWS
- Build and orchestrate ETL and ELT workflows using Apache Airflow
- Integrate data from EHRs, claims, laboratories, payers, CMS, APIs, FHIR, HL7, and other internal and external systems
- Establish AWS environments and infrastructure supporting internal development, analytics, business intelligence, and reporting
- Design and optimize data models, storage strategies, and query performance within Snowflake
- Develop reliable and maintainable data solutions using Python and SQL
- Define engineering standards for version control, code reviews, documentation, testing, monitoring, alerting, and data quality
- Establish appropriate data governance, privacy, and security practices for sensitive healthcare data
- Partner with clinical, operational, analytics, and technology stakeholders to translate business requirements into scalable technical solutions
- Evaluate architectural options and make recommendations regarding the structure and future direction of the data environment
- Mentor junior engineers, conduct code reviews, and promote strong data engineering practices across the team
Skills
- • Bachelor's degree in computer science, engineering, or a related field
- • At least 5 years of relevant data engineering experience
- • Demonstrated experience designing, architecting, and implementing enterprise data warehouses
- • Deep practical experience with AWS data services, cloud infrastructure, and data warehousing
- • Proven experience designing, developing, and managing production data pipelines within AWS
- • Strong Apache Airflow experience across workflow orchestration, scheduling, monitoring, and pipeline management
- • Advanced proficiency with Python and SQL
- • Experience building new data platforms, cloud environments, or engineering infrastructure in a greenfield setting
- • Ability to make sound architecture and implementation decisions with limited direction
- • Strong critical thinking, problem solving, communication, and stakeholder management capabilities
- • Ability to work effectively in a fast paced environment with evolving priorities and competing deadlines
- The position is 100% remote within the United States
- Due to the approved location parameters for the search, candidates residing in California cannot be considered
- To be considered for this position, candidates must be U.S. citizens or lawful permanent residents, commonly referred to as Green Card holders
- The organization is unable to provide employment visa sponsorship now or in the future
- Candidates who currently require sponsorship or may require sponsorship in the future cannot be considered
- • Experience with Snowflake and dbt
- • Experience with GitHub based version control and collaborative development practices
- • Healthcare data, healthcare systems, or healthcare analytics experience
- • Familiarity with EHR, claims, FHIR, HL7, CMS, payer, laboratory, or risk adjustment data
- • Understanding of HIPAA requirements, healthcare data privacy, and PHI handling
- • Experience supporting a high growth healthcare organization or similarly dynamic environment
- Healthcare industry experience is preferred but not required
Benefits
- The position is 100% remote within the United States.
- The position also includes a target annual bonus of 10%, with 60% based on corporate performance and 40% based on individual performance. Annual bonuses have historically paid consistently at the target level.
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