Data Engineer & Systems Architect — Hybrid, DoD‑Ready

Page Mechanical Group, Inc.

Tillicum (WA)

Hybrid

USD 110,000 - 140,000

Full time

3 days ago

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Job summary

Agile Business Concepts seeks a hands-on Data Engineer / Systems Architect to lead architecture, development, integration, and delivery of secure enterprise data solutions across Army Vantage/Palantir Foundry, Advana, Databricks, SQL, and Microsoft A365 Dataverse.

This role combines design and implementation, building ETL/ELT pipelines, data transformations, and API integrations, while ensuring data quality, security, lineage, and reliable delivery to downstream applications.

Qualifications

3+ years of enterprise data engineering experience; 5+ years strongly preferred.
Strong hands-on expertise with SQL, Databricks, ETL/ELT, APIs, relational databases, and data modeling.
Demonstrated experience designing and implementing automated enterprise data pipelines.
Experience with data transformation, cleansing, reconciliation, lineage, monitoring, and data-quality validation.
Knowledge of secure data integration, including RBAC, service identities, PII/PHI protection, and controlled data egress.
Experience operating within secure Federal or DoD environments.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or related discipline; U.S. Citizenship required.
Ability to obtain and maintain a Tier 1/NACI or equivalent Federal suitability determination.
Ability to support approximately 25% onsite work at Camp Murray, Washington.

Responsibilities

Lead enterprise data discovery, architecture, engineering, integration, and data modeling activities.
Design, develop, test, and maintain scalable ETL/ELT pipelines and automated data workflows.
Perform data transformation, cleansing, normalization, mapping, validation, and reconciliation.
Develop and optimize complex SQL queries, relational data models, schemas, and database structures.
Integrate data through REST APIs, services, connectors, and other enterprise integration methods.
Support data integration across Army Vantage/Palantir Foundry, Advana, Databricks/SQL, and Microsoft A365 Dataverse.
Design and implement Microsoft Dataverse data models and integrations supporting downstream applications.
Establish data-quality controls, lineage, monitoring, exception handling, reconciliation, and automated validation.
Implement secure data-access and egress processes utilizing RBAC and least-privilege principles.