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Analytics Engineer
| Company | Homeward Health |
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| Location | San Mateo, CA, USA |
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| Salary | $120000 – $160000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 3-5 years in data engineering roles, preferably within healthcare technology companies or health tech startups.
- 1-3 years experience with dbt Cloud (or Core) for building and managing data models preferably in a medallion architecture.
- Experience working with medical data (e.g., claims, EHR data, HCCs, or quality measures) preferably in a value-based care setting.
- Proficiency in SQL and experience working with Snowflake or other modern cloud data warehouses like Redshift or BigQuery.
- Proficiency in Python and experience building tools and scripts for data orchestration and transformation.
- Familiarity with tools like Airbyte, Fivetran, or equivalent for extracting and loading data from a variety of sources.
- Familiarity with BI solutions like Metabase, Tableau, or PowerBI to support our analytics teams.
- Ability to collaborate effectively with everyone from engineers and analysts to marketing and sales stakeholders.
- A genuine passion for leveraging technology to improve healthcare accessibility, equity, and outcomes.
Responsibilities
- Develop and maintain dbt models in our medallion layers in Snowflake focusing on datasets optimized for reporting and operational use cases.
- Provide foundational datasets optimized for visualization tools like Tableau and Metabase, enabling downstream teams to build efficient and insightful reports.
- Design and implement DAGs in Airflow for moving transformed data back into operational tools or external business applications to enhance decision-making.
- Leverage knowledge of medical and healthcare data (e.g., eligibility, claims, clinical data, risk adjustment) to create meaningful datasets and drive insights.
- Work with analytics, data science, clinical, and operational teams to understand their reporting and data warehousing needs.
- Develop and maintain clear documentation for data models, processes, and workflows in dbt and Confluence to ensure transparency and ease of use for other teams.
- Establish robust data quality checks and monitoring systems to ensure accuracy and reliability of business-ready datasets.
- Troubleshoot and resolve data discrepancies in collaboration with operational, analytics, or other engineering teams.
Preferred Qualifications
- Experience building and maintaining data pipelines using Apache Airflow.
- Experience integrating products with EHR systems, utilizing interoperability standards such as HL7, FHIR, and experience with major EHR platforms like Epic or Cerner.
- Familiarity with Medicare Advantage, Medicaid, and experience in value-based care settings.
- Previous experience in high-growth startup environments, navigating rapid scaling and change.
