Senior Data Engineer – Integration Lead
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Job Description
Senior Data Engineer leading ETL/ELT integration and governed data models for SnapIT Solutions’ Air Force logistics analytics. Supporting validated, high-availability decision products in Government environments.
Responsibilities:
- Lead discovery and integration of Government-authorized data sources
- Configure and maintain scheduled, automated ETL/ELT pipelines in Government-furnished environments
- Develop source-to-target mappings, transformation specifications, data dictionaries, lineage records, schema-change controls, and architecture documentation
- Build reusable data models and ingestion standards for the Flying Hours Project and future workloads
- Design modular, air-gapped-ready data pipelines and technical artifacts
- Implement data validation, profiling, cleansing, integrity checks, exception handling, and reconciliation
- Lead root-cause analysis and resolve data mapping, refresh, transformation, and performance issues
- Collaborate with the Power BI Developer / Data Analyst on curated datasets, semantic-model inputs, refresh schedules, and business rules
- Build or support automated UAT scripts and release validation
- Monitor pipeline execution, data freshness, data quality, query performance, and system dependencies
- Provide technical input to monthly status and dashboard-metrics reporting
- Maintain code, configuration, documentation, and technical artifacts in Government-designated repositories
- Support Agile ceremonies, sprint reviews, backlog refinement, technical working sessions, and approved on-site integration or knowledge-transfer events
- Safeguard CUI and Government-furnished equipment using only approved connectivity and tools
Requirements:
- U.S. citizenship required
- Able to complete a Tier 1 background investigation
- Able to obtain and maintain CAC and required logical access within 15 calendar days after contract start
- Able to handle CUI in Government-authorized environments
- Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline; equivalent relevant professional experience may substitute for a degree
- Seven or more years of progressively responsible experience in data engineering, data integration, database/data architecture, analytics engineering, or related technical roles
- Experience designing, building, and sustaining automated and scheduled ETL/ELT pipelines integrating multiple enterprise data sources
- Experience with data modeling, relational and/or analytical database design, source-to-target mapping, data lineage, data quality, data reconciliation, and performance tuning
- Experience with SQL and at least one enterprise data-integration, transformation, orchestration, or pipeline-development toolset
- Experience working in Agile delivery environments with version control, testing, documentation, and iterative release practices
- Ability to communicate technical dependencies, data-quality findings, integration risks, and solution options clearly to Government stakeholders and nontechnical users
Benefits:
- Supportive startup culture
- Training and opportunities to grow on the job
- Mentorship from a senior technology expert for every new hire
- Opportunity to sharpen skills through challenging work
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