Data Engineer

Reserv • Atlanta, GA

13d • Remote

About The Position

We are seeking a Data Engineer to design, build, and maintain robust data pipelines and platforms. This role involves developing data models for accessibility and usability, implementing automated testing and monitoring for data quality, and collaborating with business and technical teams to deliver trusted datasets. The Data Engineer will also focus on optimizing pipeline performance, managing infrastructure costs, and ensuring the reliability and security of production workflows. A strong emphasis is placed on applying sound engineering practices, including version control, code review, and CI/CD, as well as documenting data sources and transformations.

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.

Nice To Haves

• Experience with insurance or claims data, sensitive information, or event-driven systems is a plus.

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.

Benefits

• Generous health-insurance package with nationwide coverage, vision, & dental
• 401(k) retirement plan with employer matching
• Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
• 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 you may want. Technology is something that should make your life easier, not harder!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed