Data Engineer- Remote

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. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform.
Responsibilities

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Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

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Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.

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Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.

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Support phased migration and system cutover with minimal operational disruption.

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Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.

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Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.

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Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.

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Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.

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Ensure compliance with data governance, privacy, and security requirements (e.g., PII).

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Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.

Required Qualifications

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U.S. Citizenship required due to federal contract requirements

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Ability to obtain and maintain a Public Trust clearance

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Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

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6+ years of experience in data engineering, data migration, or data integration roles

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Proven experience executing large-scale data migration efforts, including legacy system transformation

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2+ years hands-on experience with Salesforce data migrations, including data modeling, data loading (e.g., Data Loader, APIs), and managing relational datasets

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2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts

Preferred Qualifications

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Current or recent Public Trust or active Secret clearance

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Experience supporting DHS or other federal agencies

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1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration

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2+ years proficiency in SQL and relational data modeling concepts

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Experience working with both structured and unstructured data, including document-based records

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1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows

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1+ years experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns

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Familiarity with cloud-based SaaS platforms and distributed data architectures

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Familiarity with metadata management, data lineage, and audit frameworks

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Experience working in federal or highly regulated environments

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Experience supporting Agile delivery teams and cross-functional collaboration

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Experience supporting large-scale, document-centric system migrations

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Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus

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Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution

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Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents

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Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)

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