Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
Contribute to building, maintaining, and testing data pipelines
Draft internal and external technical documentation
Seek and prioritize technical and product feedback from internal customers
Iterate quickly with an eye towards value

Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
2+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
Experience building and operating production-grade data pipelines that support AI and LLM-powered applications
Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute
and data-intensive workloads
Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs. You can problem solve independently
Comfortable working remotely in a collaborative, technical team

Competitive pay with equity options
Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
Company-sponsored disability & life insurance
Unlimited PTO
401(k) + 4% Matching
Fully remote work + flexible working hours
$750 work-from-home setup budget
Paid quarterly in-person co-working weeks
Quarterly $150 co-hanging stipend to meet up with coworkers
Monthly $100 health and wellness benefit
Generous paid family leave
Annual $1,200 learning & development stipend

Data Science Engineer

Key skills