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Senior Data Engineer

3 weeks, 5 days ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Confluence Databricks dbt GCP GitHub HIPAA JIRA Kafka Machine Learning Next.js Python R React SQL Tailwind CSS Terraform TypeScript
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Arbital Health

Arbital Health is a healthcare technology company focused on value-based care and risk-based contract management. It describes itself as an “Actuarial AI” platform that helps providers and payers centralize, measure, adjudicate, and improve the performance of value-based contracts, and it also offers actuarial advisory services.

Technology, Information and Internet
51-200
Founded 2023
$31M raised
View All Jobs 5

Description

  • Scale Arbital Health'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 and CI/CD for reliable, observable, and reproducible enrichment and aggregation workflows.
  • 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 data engineering standards across the team.

Requirements

  • 5+ years building data-intensive SaaS platforms; 8+ years with technical leadership for L5.
  • Deep, hands-on expertise with Spark and distributed data processing.
  • Strong SQL and data modeling or warehouse design experience, including dimensional modeling and Delta/Lakehouse.
  • Proven track record of scaling a product to enterprise level.
  • Experience with orchestration (Airflow), infrastructure as code (Terraform), and CI/CD for data.
  • Experience with data-quality and testing frameworks such as dbt tests or Great Expectations.
  • Ability to quickly understand complex modeling workflows and the business need driving them.
  • Ability to ship high-caliber, well-tested code with strong attention to detail.
  • Experience with healthcare data such as claims and eligibility, and handling PHI/PII under HIPAA.
  • Ability to thrive under minimal supervision in a rapidly changing, ambiguous startup environment.
  • Hybrid work from the San Francisco Bay Area, with 2 days per week in office preferred; highly qualified remote candidates considered if able to travel quarterly.
  • Startup experience is highly preferred.
  • Extensive experience with Airflow, Databricks, Python, and AWS or GCP.
  • Experience with streaming or near-real-time data such as Structured Streaming or Kafka.
  • Databricks certification in Data Engineer Associate or Professional is a plus.

Benefits

  • Generous equity grants of ISO stock options.
  • High employer-paid health, dental, and vision insurance.
  • 4% 401(k) match.
  • Flexible PTO.
  • One-week winter shutdown.
  • 10 holidays each year.
  • Quarterly team offsites and occasional travel.
  • Opportunity to build a critical software platform in healthcare value-based care.

Interested in this position?

Apply directly on the company website

Apply Now

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