We are seeking an experienced Data Engineerwith a strong focus oneligibility and membership datato join our Data Engineering team. This roleis responsible fordesigning, building, and supporting scalable data pipelines and analytics solutions within aMicrosoft Fabric workspace, with a primary emphasis on eligibility ingestion, validation, exclusion logic, and downstream integrations.
The ideal candidate has hands-onexperience working with healthcare eligibility data, understands contract/PBP andcarve-outcomplexity, and is comfortable operating across ingestion, transformation, and analytics layers. This rolepartners closelywith product, integration, analytics, and operations teams to ensureaccurate, compliant, and reliableeligibility data delivery.
Key Responsibilities
Eligibility & Data Engineering
- Design, build, andmaintaineligibility and membership data pipelinesusing Microsoft Fabric.
- Ensure eligibility data is accurately prepared for downstream integrations and analytics use cases.
- Perform root cause analysis on eligibility issues, ingestion failures, and integration discrepancies.
Microsoft Fabric & Analytics Platform
- Build andmaintaindata solutions using Fabric Lakehouse and Warehouse patterns.
- Develop reliable ETL / ELT pipelines using Fabric Data Pipelines, Dataflows Gen2, SQL, and Python.
- Use Fabric Notebooks (Python /PySpark) for data transformation, validation, andad-hoc analysis.
- Create and manage conformedfact and dimension tables for eligibility and operational reporting.
- Optimizeperformance, reliability, and observability of pipelines within the Fabric workspace.
Data Quality, Governance & Compliance
- Implement data validation and quality checks to prevent invalid or incomplete eligibility data from propagating downstream.
- SupportHIPAA-aligneddata handling practices related to eligibility and member data.
- Ensure secure, governed data access across environments and consumer teams.
- Document eligibility rules, mappings, andtransformations clearly for audit and operational transparency.
Collaboration & Enablement
- Work with Product, Integration, Operations, and Analytics teams to support eligibility use cases and troubleshooting.
- Enableself-servicereporting and analytics throughPower BI semantic models.
- Partner with other data engineers to standardize patterns and improve platform consistency.
Required Qualifications
- 5+ years of experience in aData Engineeror similar role.
- Stronghands-onexperience withSQL(advanced querying, transformations, performance tuning).
- Experience building and supportingdata pipelines and data modelsfor eligibility or healthcare datasets.
- Experience working inMicrosoft Fabricor closely related Azure data platforms.
- Strong understanding of data integration concepts, ingestion pipelines, and downstream system dependencies.
- Experience performing data analysis and troubleshooting across complex data flows.
Preferred Experience & Tools
Microsoft Fabric:
Azure & Data Technologies:
- Azure Synapse (dedicated pools)
- Azure Data Factory (or equivalent ETL tools)
Analytics & Visualization:
- Power BI (semantic models, measures, data modeling)
Healthcare Data (Preferred):
- Eligibility and membership data
- Contract / PBP configuration
- Carve-outsand exclusion logic
- Experience withCI/CD for data pipelinesandenvironment promotion
tango provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. tango will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship.