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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data ingestion and transformation pipelines, with a strong focus on healthcare data validation and clinical terminology mapping. Proficient in SQL and familiar with standard vocabularies such as LOINC and SNOMED CT.
Highest-signal resume keywords
Data Pipeline DevelopmentHealthcare Data ValidationSQL ProficiencyClinical Terminology MappingAzure Data Services
ATS Keywords
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Hard Skills
Data IngestionData TransformationData AggregationData Quality MonitoringSQLData ModelingPipeline TroubleshootingAutomated Quality ChecksClinical Terminology MappingReference Data Management
Soft Skills
Problem-SolvingCollaborationCommunication
Tools & Technologies
Azure Data ServicesPythonEHR ExtractsHIE DataFHIR Resources
Industry Keywords
Health InformaticsRegulated Data SolutionsLOINCSNOMED CTICD-10-CMRxNorm
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Build and maintain data ingestion, transformation, aggregation, and warehouse pipelines
- Map source clinical codes and local terminology to standard vocabularies and reference data
- Implement validation, reconciliation, and data quality monitoring within engineering workflows
- Investigate discrepancies and coordinate remediation with providers, clinical analysts, and integration teams
- Optimize pipeline performance, reliability, recoverability, and secure handling of sensitive health data
- Document lineage, terminology mappings, quality rules, and operational procedures for analytics-ready datasets
- Take on additional tasks and responsibilities as needed to support team objectives and ensure project success
Requirements
What you’ll need- Bachelor’s degree in computer science, data engineering, health informatics, information systems, or a related field
- 5+ years of relevant experience
- Experience building production data pipelines and healthcare or comparable regulated data solutions
- Strong SQL, data modeling, transformation, and pipeline troubleshooting skills
- Experience with clinical terminology mapping, reference data, and healthcare data validation
- Knowledge of standard vocabularies such as LOINC, SNOMED CT, ICD-10-CM, or RxNorm
- Ability to implement automated quality checks and resolve data discrepancies with clinical and technical stakeholders
- Experience with HIE data, EHR extracts, laboratory feeds, or FHIR resources
- Experience with Azure data services, Python, or comparable engineering tools
- U.S. Citizenship is required
- Must successfully complete a background check
- Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position
Benefits
Comp & perks- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training opportunities
- Remote Opportunity