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# Data Migration ETL Engineer

- **Company:** Integral Consulting Services
- **Location:** Tysons, VA, United States
- **Experience:** Experienced
- **Salary:** $130,000 - $140,000
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Databases, Data Architecture, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Migration, Relational Databases, Software Debugging, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Salesforce.Com, SQL Databases, AI Coding Agents, Information Technology, Devsecops
- **Published:** November 11, 2026
- **Apply:** https://www.jofdav.com/jobs/60494342-data-migration-etl-engineer

## About the Role

Bachelor's Degree in computer science or IT related degree with 3-6 years' experience. Additional years of experience can substitute for a degree for the right candidate.Hands-on SQL and data engineering experience with ETL/ELT, relational data modeling and large-volume database migration.Ability to code and debug Python/SQL scripts and review AI-generated transformation logic critically.Practical understanding of source-to-target reconciliation, exception management and migration testing.Experience building repeatable, version-controlled pipelines and supporting cutovers.Public Trust

Preferred:

SQL Server, Oracle, Salesforce extracts, AWS GovCloud/VAEC services and DevSecOps automation.Federal benefits or cemetery systems, auditability/PII protections, historical conversion and GIS data migration.Experience with synthetic data, reconciliation automation and VA-authorized AI coding tools.

## Description

The Data Migration ETL Engineer implements repeatable, auditable migration pipelines from BOSS-E, MBMS and related VA legacy sources into VA-EISS. Critically review AI-generated ETL scripts and data transformations, verifying that every conversion preserves required business meaning and record integrity in support of VA-EISS modernization., Responsibilities:Build SQL/Python/ETL pipelines, staging schemas, data cleansing rules, transformation jobs and automated reconciliation reports.Review AI-generated extraction, migration and rollback scripts for accuracy, performance, idempotency, security and repeatability.Execute migration rehearsals, measure throughput and data quality, diagnose exceptions and support final cutover plans.Implement automated row-level and business-rule reconciliation across source/target systems with appropriate evidence and audit logs.Coordinate with Data Analyst, Data Architect, QA Lead and VA stakeholders to resolve schema mismatches and mapping defects.