Salary
💰 $130,000 - $160,000 per year
Tech Stack
AirflowPythonSparkSQL
About the role
- Build, maintain, and optimize scalable data pipelines for ingestion, transformation, and enrichment.
- Build sophisticated data and analytics products.
- Support data quality, monitoring, and reliability across multiple healthcare datasets.
- Collaborate with product and engineering teams to design features improving patient care.
- Improve and evolve data infrastructure to reduce manual work.
Requirements
- 3+ years of experience in data engineering or a related role.
- Strong skills in Python and SQL.
- Experience with Spark or other distributed data processing frameworks.
- Experience building or maintaining data pipelines using modern data tools (e.g., Airflow, Prefect, dbt).
- Curiosity and problem-solving mindset for exploring complex datasets.
- Strong communication skills for working with technical and non-technical stakeholders.
- A proactive learner enjoying new challenges.
- ~95% employer-paid health benefits for you and your family.
- Employer-funded 401(k) match to help you build a secure future.
- Mental health benefits to support your well-being.
- Unlimited PTO and a hybrid work environment.
- Lunch provided on office days.
- Twice-a-year bonus program reflecting contributions and company success.
- Employee equity to share in company success.
- 14 weeks of fully paid parental leave.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLSparkdata engineeringdata pipelinesdata processing frameworksdata qualitydata monitoringdata transformationdata enrichment
Soft skills
problem-solvingcommunicationcuriosityproactive learning