Senior Data Engineer

Responsibilities:

• Design and build scalable, well-tested DBT models and develop reliable ELT pipelines.
• Write performance-aware SQL, identify and resolve bottlenecks in queries and pipelines.
• Improve existing patterns in the codebase and establish new ones.

Qualifications:

• 5–7+ years of healthcare data engineering or analytics engineering experience with expert-level SQL.
• Strong experience with dbt, orchestration tools, and cloud data warehouses like Snowflake.
• Proficiency in Python for automation or pipeline development and experience with AWS services.

Benefits:

• Competitive medical, dental, and vision insurance with FSA and company-funded HSA options.
• 401(k) with 4% match, 100% vested from day one, plus employer-paid disability and life insurance.
• 20 days PTO plus 10 company holidays and 2 floating holidays, and paid new parent leave.

Culture:

• Guided by core values: Children First, Earn Trust, Innovate Today, Embrace Humanity, and One Team, Diverse Perspectives.
• Commitment to diversity, equity, inclusion, and belonging, ensuring all perspectives are valued.
• Fast-paced, collaborative startup environment focused on reimagining pediatric healthcare.