Data Engineer
Listed on 2026-09-25
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IT/Tech
Data Engineering, Data Analyst
Build data transformation pipelines within Army Vantage and Advana, securely egress the transformed data, and architect a relational data foundation in Microsoft Dataverse (Army 365). All work is performed within a DoD Impact Level 5 (IL5) environment. This role does not build frontend dashboards; it provides the backend data foundation, documentation, and technical support to downstream developers.
Mandatory Requirements :1. U.S. citizenship and adjudicated Tier 1 investigation - Must be a U.S. citizen and hold a favorably adjudicated Tier 1 (T1) / NACI investigation or higher at the time of contract award. CAC, Advana, Army Vantage, and Army 365 accounts are provisioned only after full adjudication.
2. Minimum 3 years of relevant experience - Minimum three years of comprehensive experience in enterprise data engineering, cloud architecture, and DoD systems integration.
3. Onsite availability at Camp Murray, WA - Available for approximately 25% onsite performance, Pacific Time, Monday through Friday. The Government may temporarily require 100% onsite presence.
Required Platform Expertise :Deep, verifiable, hands-on experience operating natively within the following is required. This expertise may be demonstrated collectively across the contractor team; because the Government anticipates a single full-time position, candidates with direct experience in two or more are strongly preferred.
- Microsoft Dataverse (Army 365) backend - data egress, schema linkage, and enforcement of Role-Based Access Controls (RBAC)
- SQL and backend data transformation
- ETL / ELT pipeline design, development, and automation
- Relational database modeling and schema design
- Python, PySpark, or equivalent scripting
- Data quality, validation, and reconciliation
- Role-Based Access Control (RBAC) and row-level security
- Power Platform (Power Apps, Power Automate)
- Power BI data modeling
- Prior DoD, Army, or National Guard program support
- Conduct data discovery and assessment of Vantage and Advana datasets
- Build and sustain automated ETL pipelines with high availability and error reporting
- Cleanse, deduplicate, and harmonize data against approved data quality rules
- Develop relational data models, star schemas, data dictionaries, and ERDs
- Engineer and maintain secure automated egress connections to the Power Platform tenant
- Apply RBAC, row-level and field-level security, and PII/PHI masking
- Build automated reconciliation and validation controls with alerting
- Document data lineage and transformations in a version-controlled repository
- Participate in NGB data governance and synchronization working groups
- Deliver monthly status reports and required technical deliverables
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience
- DoD 8140 / DCWF foundational qualification aligned to the assigned work role (e.g., Data Analyst 421, Database Administrator 451)
- Preferred:
Azure Data Engineer Associate, Databricks certification, Microsoft Power Platform certification, or Security+
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