Hipp Health
Analytics Engineer
United States · Remote · Full-time · Posted Aug 19, 2026
- Experience
- Minimum of 3+ years of professional experience in Analytics Engineering, Data Engineering, or Data Analytics.
About the job
Build and improve Hipp Health’s analytics data platform, pipelines, models, dashboards, and product analytics to support healthcare-provider operations and the company’s ML and AI efforts.
What you'll do
- Develop and maintain data infrastructure, pipelines, models, dashboards, and reports; improve analytics and BI processes.
- Use SQL and data analysis to identify trends and root causes, monitor data quality, and communicate findings to stakeholders.
- Collaborate with cross-functional teams to translate business needs into technical specifications and product insights.
What they ask for
- Experience building and maintaining data warehouses, production-ready data pipelines, and data models.
- Experience with orchestration, data governance, OLAP databases, schema design, and query optimization.
- Proficiency with Git workflows and advanced SQL, especially in DBT projects; experience with software development best practices such as CI/CD, testing, documentation, and modular coding.
- Expertise with a major BI tool and strong analytical, communication, and presentation skills.
Nice to have
- Experience with healthcare data or in the health industry.
- Hands-on Python or R experience, or deep experience with DBT.
Tools
Airflow, Prefect, Omni, Tableau, Power BI, Looker, SQL, DBT
AI focus
Maintain and improve the data platform underlying ML and AI efforts; the posting does not specify other AI development responsibilities.
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