Senior Data Engineer

Das ist der Job

We are looking for a senior data engineer to help us enhance and scale this core part of our platform.

Darum lohnt es sich

Responsibilities Scale Arbital's healthcare data pipelines and lakehouse on AWS and Databricks, and own the underlying architecture Implement and scale actuarially sound healthcare financial calculations in Spark Build and maintain orchestration (Airflow) and CI/CD so enrichment and aggregation workflows are reliable, observable, and reproducible Own data quality, integrity, privacy, security, and HIPAA compliance through automated testing and quality‑control procedures Collaborate with actuarial and delivery teams that primarily work in Python and R Partner with data scientists to deploy and monitor machine learning models in production Lead technical design reviews and contribute to platform‑wide architecture decisions Establish data observability, lineage, and SLAs, and tune Spark/Databricks jobs for performance and cost Raise the engineering bar through code review, mentorship, and setting data‑engineering standards across the team Requirements 5+ years building data‑intensive SaaS platforms (L5: 8+ years with technical leadership) Deep, hands‑on expertise with Spark and distributed data processing Strong SQL and data modeling / warehouse design (dimensional modeling, Delta / Lakehouse) Proven track record scaling a product to an enterprise level Experience with orchestration (Airflow), IaC (Terraform), and CI/CD for data Experience with data‑quality / testing frameworks such as dbt tests or Great Expectations Ability to quickly understand complex modeling workflows and the business need driving them Ships high‑caliber, well‑tested code with strong attention to detail Experience with healthcare data (claims, eligibility) and handling PHI / PII under HIPAA Thrives under minimal supervision in a rapidly changing, ambiguous start‑up environment Our team works in a hybrid model from the San Francisco Bay Area.

Nice to have Startup experience is highly preferred Extensive experience with Airflow, Databricks, Python, and AWS or GCP Streaming / near-real-time data such as Structured Streaming or Kafka Databricks certification (Data Engineer Associate or Professional) Tools we use AI Tools: Cursor, Claude, Gemini, Databricks Genie Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS Infrastructure: AWS, Databricks, Airflow, Terraform Version Control: GitHub Team Planning: Jira, Confluence Benefits Generous equity grants of ISO stock options We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance 4% 401(k) match Flexible PTO, a weeklong winter shutdown, and 10 holidays each year Occasional travel required – Quarterly team offsites The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care #J-18808-Ljbffr We will prioritize candidates who are able to work 2 days per week from our office, and we will consider highly qualified remote candidates who can travel quarterly to the San Francisco office.