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# Senior Data Engineer

- **Company:** Gifthealth Inc
- **Location:** Columbus, OH, United States (Remote available)
- **Experience:** Expert
- **Salary:** $142,000.0 - $177,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Code Review, Information Engineering, Data Infrastructure, Data Warehousing, Python (Programming Language), Pair Programming, Ruby, SQL Databases, Information Technology, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5c5ec790f442de4d

## About the Role

* Education: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer
 * Experience: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
 * Skills:
 + 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
 + Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator
 + Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines
 + Experience mentoring engineers and contributing to team standards and culture
 + Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion
 + Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus
 + Excellent communication skills - you can align technical and non-technical stakeholders on complex problems
 + An excitement about what data can do for healthcare and patients

## Description

The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems., * Lead the design and architecture of our most critical data pipelines and data platform components

 * Set technical standards and best practices that elevate the entire data team
 * Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing
 * Own the health, scalability, and reliability of our orchestration infrastructure
 * Partner with engineering, analytics, and leadership to shape the roadmap for our data platform
 * Evaluate and introduce new tools and technologies to keep our stack modern and effective
 * Ensure compliance and confidentiality of Personal Health Information across all data


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