Data Engineer- Remote
About The Position
This role supports the large-scale modernization of legacy systems by leading the migration of documentation and records into a cloud-based environment. It focuses on transforming document-heavy workflows into structured digital processes and enabling data integration across systems using MuleSoft APIs. The work supports analytics, reporting, and operational efficiency for a mission-critical enterprise platform. The Data Engineer leads Salesforce-centric migration work, converts unstructured records into analytics-ready formats, builds and maintains integrations, and contributes to Salesforce Data 360 implementation. The role also supports data governance, privacy, security, testing, documentation, and audit readiness in an Agile environment.
Requirements
- U.S. citizenship is required due to federal contract requirements.
- Ability to obtain and maintain a Public Trust clearance.
- Must have lived in the U.S. for three full years out of the last five years.
- At least 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.
- At least 2 years of hands-on Salesforce data migration experience, including data modeling, data loading (such as Data Loader or APIs), and managing relational datasets.
- At least 2 years of experience implementing data quality, validation, and reconciliation processes during migration efforts.
Nice To Haves
- Current or recent Public Trust or active Secret clearance.
- Experience supporting DHS or other federal agencies.
- At least 1 year of experience using Informatica, such as PowerCenter or IICS, for ETL/ELT development, data mapping, and pipeline orchestration.
- At least 2 years of proficiency in SQL and relational data modeling concepts.
- Experience with structured and unstructured data, including document-based records.
- At least 1 year of experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows.
- At least 1 year of experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns.
- Familiarity with cloud-based SaaS platforms and distributed data architectures.
- Familiarity with metadata management, data lineage, and audit frameworks.
- Experience in federal or highly regulated environments.
- Experience supporting Agile delivery teams and cross-functional collaboration.
- Experience supporting large-scale, document-centric system migrations.
- Familiarity with DocuSign eSignature and Contract Lifecycle Management (CLM) products.
- Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution.
- Experience with Salesforce Document AI or Intelligent Document Processing (IDP) tools for extracting structured data from documents.
- Understanding of data governance, security, and compliance requirements, particularly for sensitive data such as PII.
Responsibilities
- Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation, with a Salesforce focus.
- Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.
- Implement data quality processes, including cleansing, deduplication, and reconciliation, to ensure accuracy and completeness after migration.
- Support phased migration and system cutover while minimizing operational disruption.
- Design, build, and maintain MuleSoft integrations, including APIs for real-time and batch data exchange.
- Apply data transformation logic such as DataWeave and troubleshoot integration and data-flow issues across systems.
- Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.
- Ensure appropriate data ingestion, lineage, metadata management, and traceability across the ecosystem.
- Ensure compliance with data governance, privacy, and security requirements, including requirements related to PII.
- Collaborate in Agile teams and support testing, documentation, and audit readiness across migration and integration efforts.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
