Data Engineer / Systems Architect

Agile Business Concepts•Camp Murray, WA

1d•Hybrid

About The Position

Agile Business Concepts is seeking a highly technical, hands-on Data Engineer / Systems Architect to serve as Key Personnel supporting a Federal/DoD data integration environment. The successful candidate will lead the architecture, development, integration, and delivery of secure enterprise data solutions across Army Vantage/Palantir Foundry, Advana, Databricks, SQL, and Microsoft A365 Dataverse environments. This position requires an engineer who can both design the technical architecture and perform hands-on implementation, including building ETL/ELT pipelines, developing data transformations, integrating APIs, designing relational and Dataverse data models, and ensuring data quality, security, lineage, reconciliation, and reliable delivery to downstream applications.

Requirements

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 a related discipline, or equivalent relevant professional experience.
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.

Nice To Haves

Direct hands-on experience with Army Vantage/Palantir Foundry and Advana is strongly preferred.
Experience with Microsoft Azure, A365/Microsoft Dataverse, Databricks, DoD IL5 environments, and applicable cloud/data certifications will be highly valued.

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, service identities, least-privilege principles, and appropriate PII/PHI protections.
Troubleshoot complex data pipeline, integration, performance, and data-quality issues.
Produce technical architecture, data-flow, interface, mapping, and system documentation.
Collaborate with application developers, cloud engineers, cybersecurity teams, architects, and Government stakeholders.