Data Engineer

🕒 July 28

⚔️ Virginia, West Virginia – Remote

infoinfo

💵 $98.6k - $167.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 7%

infoinfo

Cloud

ETL

Informatica

SQL

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of ICF

ICF

5001 - 10000 employees

Founded 1969

💼 Consulting

🏛️ Government

🏥 Healthcare

💰 $29M Grant on 2023-03

Consulting • Government • Healthcare

ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.

📋 Description

• 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.

🎯 Requirements

• 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 • Current or recent Public Trust or active Secret clearance (preferred) • Experience supporting DHS or other federal agencies (preferred) • 1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration (preferred) • 2+ years proficiency in SQL and relational data modeling concepts (preferred) • Familiarity with cloud-based SaaS platforms and distributed data architectures (preferred) • Familiarity with metadata management, data lineage, and audit frameworks (preferred) • Experience working in federal or highly regulated environments (preferred) • Experience supporting Agile delivery teams and cross-functional collaboration (preferred) • Experience supporting large-scale, document-centric system migrations (preferred) • Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus (preferred) • Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution (preferred) • Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents (preferred) • Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII) (preferred).

🏖️ Benefits

• Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.

Apply Now

Similar Jobs

🕒 July 28

Lumos

51 - 200

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Software Engineer developing data platforms for identity governance. Design and operate scalable systems that transform identity data for various product consumers.

🇺🇸 United States – Remote

💵 $170k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🕒 July 28

Data Meaning

51 - 200

💼 Consulting

📦 Logistics

☁️ SaaS

Lead Data Architect specializing in data platform modernization for Data Meaning. Responsible for assessing architecture and guiding SQL transformations in a Snowflake environment.

🇺🇸 United States – Remote

💵 $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🕒 July 28

Age of Learning

201 - 500

📚 Education

👥 B2C

☁️ SaaS

Senior Data Engineer shaping the architecture and long-term direction of data platform. Collaborating across teams to build scalable data systems for decision-making at Age of Learning.

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🕒 July 27

Medisolv, Inc.

51 - 200

🏥 Healthcare

☁️ SaaS

🤝 B2B

Data Engineer/Analyst transforming healthcare data into actionable insights through data pipelines and analytics. Join Medisolv to improve patient care with experience in SQL, Azure, and AWS.

🇺🇸 United States – Remote

💰 Private equity on 2023-06

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🕒 July 27

DriveTime

1001 - 5000

🚘 Automotive

📦 Logistics

📣 Marketing

Senior Data Engineer supporting the development and optimization of data processes for DriveTime Family of Brands. Collaborating with teams to create high-quality data solutions and mentor engineers.