Data Engineer
Quick Summary
About Reserv Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims.
Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can't wait to meet you.
Requirements
~1 min readCandidates must reside in an eligible U.S. state throughout employment. We are unable to hire candidates residing in California, Alaska, Hawaii, U.S. territories, or outside the United States.
- 6+ years of experience designing, building, and maintaining production data pipelines and platforms, with demonstrated ownership of architecture, reliability, and technical decisions.
- Strong SQL and Python skills, including experience writing readable, tested, and maintainable code.
- Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
- A solid understanding of data modeling, including dimensional models, incremental processing, and changing source data.
- Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or comparable technologies.
- A track record of improving data reliability through testing, monitoring, and thoughtful system design.
- Comfort working with APIs, relational databases, and structured or semi-structured data.
- Strong communication skills and the ability to explain technical tradeoffs to colleagues with different backgrounds.
- A practical approach to problem-solving, a willingness to learn, and comfort taking ownership as priorities evolve.
- Experience with insurance or claims data, sensitive information, or event-driven systems is a plus.
Responsibilities
~1 min read- →Design, build, and maintain pipelines that ingest data from applications, APIs, databases, and external partners.
- →Develop data models that make claims and operational data accessible, consistent, and useful for analytics and downstream applications.
- →Build automated tests, monitoring, and alerts to catch data quality issues and pipeline failures early.
- →Partner with business and technical teams to define requirements, clarify data definitions, and deliver trusted datasets.
- →Improve pipeline and query performance while managing infrastructure costs.
- →Own production workflows, including troubleshooting, backfills, and recovery from upstream changes.
- →Apply sound engineering practices through version control, code review, automated testing, and CI/CD.
- →Document data sources, transformations, and dependencies, and help protect sensitive information through appropriate access controls
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- October 9, 2026
- Last seen
- October 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 65%
- Scored at
- October 9, 2026
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