job summary
Join our Health & Life Sciences practice to spearhead critical data integration and governance initiatives. You will work alongside enterprise data engineers, architects, and business stakeholders to translate complex healthcare requirements into robust, high-performance data pipelines. This role is essential to delivering clean, traceable, and compliant data solutions for industry-leading healthcare payer platforms.
location: Telecommute
job type: Contract
salary: $40 - 45 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities
- Lead healthcare data discovery, source-to-target mapping, and data integration initiatives across enterprise data systems.
- Create and maintain comprehensive transformation specifications, business rule definitions, and end-to-end data lineage documentation.
- Execute advanced SQL queries to analyze large datasets, profile raw data sources, and support quality assurance and data modeling.
- Facilitate joint requirements sessions with cross-functional technical teams, business analysts, and analytics consumers.
- Ensure all data solutions adhere to strict healthcare compliance, traceability, and governance standards.
qualifications
REQUIRED QUALIFICATIONS
Bachelor of Engineering Degree.
8+ years of dedicated data analysis experience within the Healthcare Payer domain (claims, eligibility, provider data, and clinical integration).
6+ years of advanced hands-on SQL experience for complex data querying, validation, and profiling.
Proven background authoring comprehensive Source-to-Target Mapping (STTM) documents and transformation logic for enterprise ETL/ELT pipelines.
Demonstrated ability to bridge communication between business leaders and technical engineering squads.
PREFERRED QUALIFICATIONS
Prior experience with Databricks or modern cloud data warehouse architectures (AWS, Azure, Snowflake).
Familiarity with healthcare EDI standards (e.g., 837, 835, 834) and industry coding systems.
Experience with data governance, lineage tracking tools, and dimensional data modeling concepts.
skills
AWS,cloud data platforms,data integration,data integrity,data lineage,lineage tracking,target mapping,Data Mapping,data profiling,dimensional data,Databricks,ETL,FHIR,Healthcare Data Standards,HL7,data engineering,Azure,excel,Power BI,advanced SQL,SQL skills,Tableau,technical data,EDI transactions,analytical,detail-oriented,collaboration,billing workflows,Life Sciences,BI Tools,business rules,business rule,analytics dashboards,data modeling,technical specifications,ecosystems,governance,healthcare,HIPAA,ICD-10,claims,Healthcare Data,modeling,requirements gathering,traceability,workflows