Position SummaryWe are seeking a Data Engineer II to build and maintain the pipelines, models, and orchestration jobs that power Gifthealth's analytics and client reporting. This position plays a key role in supporting the Data Engineering team and the broader Analytics organization, ensuring alignment with organizational goals, operational excellence, and compliance standards.
This is a hands-on delivery role: the Data Engineer II owns well-scoped projects end to end, from requirements through production, and raises questions early when a problem is bigger than it first looked. The ideal candidate has 3+ years of data engineering experience, strong SQL and Python skills, working fluency with dbt and a modern orchestrator, and the judgment to know when to solve independently and when to pull in a senior engineer.
Key Responsibilities- Build, test, and maintain production data pipelines and dbt models with limited day-to-day direction
- Own delivery of scoped projects end to end, including requirements clarification, implementation, testing, documentation, and handoff
- Write and maintain orchestration jobs; monitor pipeline health, triage failures, and resolve or escalate production issues
- Participate actively in code review, both giving and receiving feedback, and apply the team's technical standards consistently
- Partner with analysts, engineers, and business stakeholders to translate reporting and data needs into durable models
- Contribute to team standards, documentation, and tooling improvements
- Ensure compliance and confidentiality of Personal Health Information across all data
Qualifications- Education: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field, and relevant work experience as a Data Engineer
- Licensure/Certification: Not applicable
- Experience: 3+ years of experience as a Data Engineer or in a closely related data role.
- Knowledge, Skills, and Abilities:
- Strong proficiency in SQL and Python, including performance-aware query writing
- Hands-on experience with Airflow or a comparable orchestrator, including building and debugging scheduled jobs
- Working experience with dbt and a modern cloud data warehouse
- Familiarity with Git-based workflows, CI/CD, and automated testing
- Exposure to AWS and managed ingestion tools such as Fivetran; Ruby experience is a plus
- Clear written and verbal communication, with the ability to explain data work to non-technical partners and document your own decisions
- Comfort working through ambiguity, asking clarifying questions, and driving work to completion
- An excitement about what data can do for healthcare and patients
Work Environment- Location: Remote
- Schedule: Full-time
- May require occasional availability outside standard hours to triage production issues or support releases.
- Regular meetings with analysts, engineers, and business stakeholders to ensure alignment.
Key Essential Functions - Must be able to use a computer for extended periods to build and maintain data pipelines
- Must be able to participate in virtual and in-person meetings, including code reviews and cross-functional planning
- Must be able to manage multiple priorities and meet deadlines in a fast-paced environment
- Must maintain compliance with data privacy and confidentiality requirements, including safeguarding Personal Health Information (PHI)
Employment ClassificationStatus: Full-time
FLSA: Exempt
DisclaimerThis job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.
Salary Description
$123,000-148,000
