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Data Engineer
Definitive HealthcarePosted 10/19/2026full-timeRemote • Massachusetts • United StatesJuniorMid-Level💰 $93,000 - $141,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining ETL/ELT pipelines, with proficiency in Python and SQL, and experience in cloud platforms such as AWS, Azure, or GCP. Capable of troubleshooting data quality issues and collaborating effectively with cross-functional teams to ensure data integrity and operational support.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentPython ProficiencySQL ProficiencyApache Spark/PySpark ExperienceAWS/Azure/GCP Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build, maintain, test, and support moderate-complexity ETL/ELT pipelines, transformations, and data components
- Own defined pipeline components from implementation through testing, deployment, documentation, and production support
- Troubleshoot pipeline failures, data quality issues, and performance problems; identify root causes and implement maintainable fixes
- Contribute to technical designs, estimates, and implementation plans
- Apply practices for data modeling, testing, code review, observability, security, source control, CI/CD, and operational support
- Monitor pipeline performance and reliability, surface risks and blockers, and improve quality, efficiency, and maintainability
- Develop working knowledge of Claims and Consumer data structures, transformations, dependencies, and quality standards
- Collaborate with engineers, QA, analysts, Product, Support, and data consumers
- Assess downstream impacts of data and schema changes and support vendor-delivered data sources and customer issues
- Participate in code reviews, pairing, sprint activities, technical discussions, documentation, and knowledge sharing
- Support less-experienced engineers through knowledge sharing and constructive review feedback
- Use approved AI-assisted development tools responsibly
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- 2+ years of Data Engineering, Software Engineering, or related experience building and supporting production data solutions
- Proficiency in Python and SQL
- Hands-on experience developing and maintaining production data pipelines
- Experience with Apache Spark/PySpark or equivalent distributed data processing technologies
- Experience with AWS, Azure, or GCP
- Experience with Databricks, Snowflake, Delta Lake, or equivalent technologies
- Experience with workflow orchestration technologies such as Airflow or Argo
- Working knowledge of relational databases, data modeling, testing, code review, observability, source control, CI/CD, and production support practices
- Ability to own technical work, troubleshoot issues, collaborate effectively, and communicate progress, risks, and blockers
- Healthcare data experience, including claims, pharmacy, eligibility, consumer, provider, or reference data (preferred)
- Experience with lakehouse or medallion architecture patterns (preferred)
- Experience supporting Spark workloads in Kubernetes or similar environments (preferred)
- Experience supporting enterprise data products or regulated data services (preferred)
- Experience onboarding vendor-delivered datasets and evaluating schema or downstream impacts (preferred)
- Experience using AI-assisted engineering tools (preferred)
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Unlimited paid time off
- 401(k) plan with employer contribution/match
- Company bonus or commission plan eligibility, depending on the position
- Industry leading products
- Flexible and dynamic culture
- Definitive Cares community service opportunities
- Competitive benefits package
- Great healthcare benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringProduction Data SolutionsData ModelingCode ReviewObservabilityCI/CD PracticesWorkflow OrchestrationRelational DatabasesData Quality StandardsTroubleshooting
Soft Skills
CollaborationEffective CommunicationKnowledge SharingProblem SolvingConstructive Feedback
Tools & Technologies
DatabricksSnowflakeDelta LakeAirflowArgoAI-Assisted Development Tools
Certifications & Qualifications
Bachelor's Degree in Computer ScienceEngineeringInformation Systems
Industry Keywords
Healthcare DataClaims DataConsumer DataMedallion ArchitectureLakehouse ArchitectureVendor-Delivered Datasets