ICF
Data Engineer
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada3 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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 requirements (e.g., PII).
- Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.
Required Qualifications
- U.S. Citizenship required due to federal contract requirements
- Ability to obtain and maintain a Public Trust clearance
- Candidate must have lived in the U.S. 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 Qualifications
- Current or recent Public Trust or active Secret clearance
- Experience supporting DHS or other federal agencies
- 1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration
- 2+ years proficiency in SQL and relational data modeling concepts
- Experience working with both structured and unstructured data, including document-based records
- 1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows
- 1+ years 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 working 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 a plus
- Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution
- Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents
- Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)
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