Data Engineer (Remote)

Job summary

Description This role supports the large-scale modernization of legacy systems by leading the migration of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs.

Benefits

Qualifications

• e.g., PII).
• Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.
• Required
• Citizenship required due to federal contract
• Ability to obtain and maintain a Public Trust clearance
• Candidate must have lived in the U.
• for three (3) full years out of the last five (5) years
• 6+ years of experience in data engineering, data migration, or data integration roles
• Proven experience executing large-scale data migration efforts, including legacy system transformation
• 2+ years hands-on experience with Salesforce data migrations, including data modeling, data loading (e.g., Data Loader, APIs), and managing relational datasets
• 2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts
• Preferred

Responsibilities

• Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).
• Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.
• Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.
• Support phased migration and system cutover with minimal operational disruption.
• Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.
• Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.
• Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.
• Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.
• Ensure compliance with data governance, privacy, and security

Skills

Degrees

Industry

Company size

Security clearance