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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and healthcare data extraction, with a strong focus on SQL, Python, and HL7 standards. Capable of building scalable data pipelines and ensuring compliance with CMS quality reporting initiatives.
Highest-signal resume keywords
SQL ExpertiseHL7 v2.x, CCDA, FHIR ProficiencyData Pipeline DevelopmentHealthcare Data ExtractionCMS Quality Reporting Experience
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonSparkHL7 v2.xCCDAFHIRData LineageMetadata-Driven PipelinesClinical Data MappingData Quality Frameworks
Soft Skills
MultitaskingDeadline ManagementProblem-SolvingCommunication
Tools & Technologies
DatabricksEMRAWSAzureOCIAirflowGitCI/CDTerraformDelta Lake
Industry Keywords
Healthcare Data ExtractionClinical InformaticsMIPSECQMsQuality ReportingClinical TerminologyEMR/EHR SystemsData GovernanceAudit ComplianceAmbulatory EMR
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureCloudPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Extract, transform, and validate patient clinical data from EMR/EHR systems using HL7 v2.x, CCDA, and FHIR bundles
- Interpret HL7 segments including PID, PV1, ORC, OBR, OBX, DG1, and RXA for clinical measure mapping
- Troubleshoot inconsistent or malformed HL7 messages and resolve data quality gaps with vendors
- Build parsing logic to normalize data across heterogeneous EMR systems
- Query EMR databases such as NextGen, eCW, Greenway, and Athena to extract structured and unstructured clinical data required for MIPS measures
- Understand vendor-specific table schemas, metadata dictionaries, and proprietary data models
- Translate measure specifications into SQL logic based on CMS MIPS calculation rules
- Validate measure completeness, timeliness, and accuracy before client submission
- Maintain engineering implementation standards, documentation requirements, and build methodologies
- Align engineering work with solution architecture, technology standards, and security baselines
- Improve standard configurations, automation, templates, and reusable frameworks
- Ensure engineering quality through audits, peer reviews, and structured validation
- Build scalable ingestion pipelines using SQL, Spark, Python, Databricks, EMR, or OCI Data Flow
- Develop metadata-driven pipelines supporting multiple clients and EMR platforms
- Implement data quality frameworks, thresholds, and reconciliation reports
- Maintain data lineage, audit trails, and governance compliance for CMS readiness
- Support MIPS Advisors with numerator/denominator data for clinical quality measures
- Produce audit-ready documentation and reproducible calculations for CMS submission
- Map EHR data elements to CMS measure logic and identify gaps or vendor remediation needs
- Validate client compliance with annual CMS submission timelines and data completeness requirements
- Translate technical data issues into actionable insights for non-technical MIPS Advisors
- Coordinate with EMR vendors to resolve data extraction failures or schema changes
Requirements
What you’ll need- 5+ years in data engineering, healthcare data extraction, or clinical informatics
- Deep expertise with SQL, Python, Spark (batch + streaming) on Databricks, EMR, or DataFlow
- Strong experience with HL7 v2.x, CCDA, FHIR, EDI X12 (837/835)
- Proven ability to query and interpret ambulatory EMR/EHR schemas (NextGen, eCW, Greenway, etc.)
- Hands-on optimization experience with Autonomous Data Warehouse, Snowflake, or Redshift
- Experience with cloud platforms (AWS, Azure, OCI)
- Skilled in building metadata-driven pipelines, implementing data lineage, auditability, and governance
- Experience with Airflow or similar orchestration tools
- Experience with Git, CI/CD, Terraform, DataOps workflows
- Ability to meet deadlines and multitask, manage multiple deadlines, and support regulatory timeframes
- Bachelor’s degree in computer science, Information Systems, Health Informatics, or related field
- Experience supporting CMS eCQMs, MIPS/MACRA, ACO performance measures, or quality reporting initiatives
- Familiarity with clinical terminology (SNOMED, LOINC, RxNorm, CPT/HCPCS, ICD-10)
- Experience with Delta Lake / Lakehouse architectures
- Previous experience in a healthcare IT vendor, MSP, EMR company, or consulting environment
Benefits
Comp & perks- Comprehensive Health Insurance policy
- Employee Wellness Program with focus on mental health
- Robust reward and recognition programs
- Company incentive programs offered
- Holiday Leave
- Maternity Leave
- Paternity Leave
- Birthday leave
- Bereavement Leave
- Paid Leave for personal time off
- Ample growth and learning opportunities
- Remote work opportunities
- Focus on work/life balance
- Immigration Program supporting immigration to Canada for eligible employees