Senior Data Engineer - Healthcare Data & Audience Applications

Overview:

• This role focuses on building reliable, scalable data pipelines and data products for a healthcare vertical.
• You will turn complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, and measurement.
• Working closely with engineering and product teams, you will own significant parts of the delivery lifecycle.

Key Responsibilities:

• Design, develop, test, deploy, and operate production pipelines for healthcare, identity, and campaign data using Python, SQL, Airflow, S3, Snowflake, and EMR.
• Implement reusable data models, governed views, and data-quality controls for provider, claims, and audience datasets.
• Apply privacy-by-design practices for PHI/PII and collaborate with the Lead Data Engineer on code reviews and technical designs.

Qualifications:

• 5–8 years of hands-on data engineering experience with healthcare datasets and production pipelines.
• Strong Python and expert SQL skills, with experience in Snowflake, Airflow, and EMR.
• Deep knowledge of HIPAA, HIPAA, PHI/PII handling, and regulated data environments.

Benefits:

• Unlimited PTO, excellent medical, dental, and vision coverage.
• Employee equity, discounts, virtual wellness classes, and pet insurance.
• Opportunities to work with cutting-edge AI and marketing technologies.