Data Engineer II

Gifthealth

Data Engineer II building production pipelines and dbt models for Gifthealth’s prescription and healthcare services platform. Supporting analytics, client reporting, orchestration, and PHI-compliant data operations.

Posted 8/4/2026full-timeRemote • Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $123,000 - $148,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong capabilities in building and maintaining data pipelines, with expertise in SQL and Python. Proficient in data privacy compliance and effective communication with both technical and non-technical stakeholders.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingAirflow ExperienceData Privacy Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData EngineeringPerformance-Aware Query WritingOrchestration JobsDbtCloud Data WarehouseGit-Based WorkflowsCI/CDAutomated Testing

Soft Skills

CommunicationProblem-SolvingTime ManagementCollaborationAdaptability

Tools & Technologies

AirflowFivetranAWSData Modeling ToolsDocumentation Tools

Industry Keywords

Personal Health InformationData PrivacyComplianceQuantitative AnalysisData Needs Translation

Tech Stack

Tools & technologies

AirflowAWSCloudPythonSQL

About the role

Key responsibilities & impact

Build, test, and maintain production data pipelines and dbt models with limited day-to-day direction
Own 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 and apply team technical standards
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
Attend regular meetings with analysts, engineers, and business stakeholders
Manage multiple priorities and meet deadlines in a fast-paced environment
Safeguard Personal Health Information and comply with data privacy requirements

Requirements

What you’ll need

Bachelor's Degree in mathematics, statistics, computer science, or another quantitative field
Relevant work experience as a Data Engineer
3+ years of experience as a Data Engineer or in a closely related data role
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
Ability to explain data work to non-technical partners and document decisions
Ability to work through ambiguity, ask clarifying questions, and drive work to completion
Ability to use a computer for extended periods
Ability to participate in virtual and in-person meetings, including code reviews and cross-functional planning
Ability to manage multiple priorities and meet deadlines
Ability to maintain data privacy and confidentiality requirements, including safeguarding PHI

Benefits

Comp & perks

Fully remote work
Full-time employment
Opportunity to contribute to healthcare and patient impact
Inclusive, diverse work environment
Occasional availability outside standard hours for production issue triage or release support