SQL/ Power BI Developer

Insight Global
Norfolk, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 119K

Job location

Norfolk, United States of America

Tech stack

Azure
ETL
Data Visualization
Power BI
SQL Databases
Data Streaming
Data Ingestion
Data Lake
Data Lineage
Data Management
Databricks

Job description

Our client is seeking a SQL / Power BI Developer to support enterprise-level claims reconciliation, audit controls, and data visibility across critical healthcare systems. This role focuses on ensuring financial accuracy, compliance, and traceability across the end-to-end claims lifecycle.

You'll work within Sentara's existing Azure/Databricks data environment, partnering with data, claims, and business teams to analyze, reconcile, and visualize data moving across multiple systems.

This resource will be responsible for

-Building Power BI dashboards that support audit, balancing, and reconciliation controls

-Using SQL to reconcile claim counts and dollar amounts across upstream and downstream systems

-Working with data housed in Databricks to support analytics and reconciliation reporting

-Tracing claims data end-to-end (inbound EDI ? internal processing systems ? outbound Medicaid submissions and response files)

-Validating total paid amounts, volumes, and financial accuracy across the claims pipeline

-Investigating discrepancies and data variances with business analysts and claims teams

-Supporting existing ETL and data ingestion processes and ensure analytical outputs align with source data

-Pay rate between $50-57/hr

Requirements

Strong SQL skills (complex joins, aggregations, reconciliation logic)

-Hands-on experience developing dashboards in Power BI

-Experience working within modern data platforms (Databricks, cloud data lakes, or similar)

-Understanding of ETL/data flows and how data moves across systems

-Healthcare, claims, or payer data experience is preferred, especially EDI/837 familiarity

-Detail-oriented, analytical mindset with a focus on accuracy, auditability, and data lineage -EDI/837 familiarity or Encounters Data Management (EDM) within healthcare

-Databricks experience

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