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About the Role
We are seeking a talented individual to design, build, and maintain data pipelines and models, ensuring data accessibility and reliability for analytics and downstream applications. This role involves owning production workflows, improving performance, and applying sound engineering practices.
Responsibilities
- 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.
Requirements
- 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.
Skills
- SQL
- Python
- Data Modeling
- Cloud Data Warehousing (Snowflake, BigQuery, Redshift)
- Transformation and Orchestration Tools (dbt, Airflow, Dagster)
- APIs
- Relational Databases
- Structured Data
- Semi-structured Data
- Version Control
- Code Review
- Automated Testing
- CI/CD
Location
- Work from anywhere
Work Type
- Remote
- Full-time
Experience Level
- 6+ years of experience
Benefits
- Generous health-insurance package with nationwide coverage, vision, & dental
- 401(k) retirement plan with employer matching
- Competitive PTO policy
- Generous family leave policy after 8 months of continuous work
- Work from anywhere to facilitate your work life balance
- Apple laptop, large second monitor, and other quality-of-life equipment
About the Company
- At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!