Senior Data Engineer

### Who you are
- Data Engineering: At least 5 years of broad experience
- Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices
- Hands-on with BigQuery, Airflow, DBT, or AWS Glue
- Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.)
- Startup Culture: At least 1 year of experience working at the seed stage, whether as a cofounder or early engineer. An impatient desire to hack, scrappiness is a virtue!
- Technologies: Python and JS/TS (Join and help us decide!)

### What the job involves
- We're looking for an entrepreneurial Data Engineer with interest in agentic AI and at least 5 years of general engineering experience who wants to make an impact as one of the founding engineers of our new AI-focused incubator teams.
- We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get exploring how AI can help bridge those gaps
- *If you love working 0 → 1*, we want to talk to you. While our core products are already humming, we're always looking for new ideas to expand access to care. And as a "startup within a startup", our incubator teams will have all of the freedom of a seed stage startup, but with the unfair advantage of direct customer relationships with 6 of the 10 largest US health plans and access to much deeper resources

### The application process
- We aim to complete the interview process between 2-3 weeks. It will usually consist of:
- Recruiter Screen (30-Minutes)
- Hiring Manager Introduction (30-Minutes)
- Technical Assessment (45-Minutes)
- Onsite Interview: Systems Design + Behavioral Interview + Lunch with the Team (3-hours)
- References

### Benefits
- Free lunch everyday and fully-stocked microkitchens and coffee/tea bar
- Team offsites, game hours, tech talks, and design sprints
- Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
- Dental / vision / wellness benefits
- 401k matching
- Unlimited PTO
- Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)
- Relocation assistance
- Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)