Data Engineer

Application Onboarding & ZT Integration:

• Support onboarding of mission applications to enterprise Zero Trust services, assessing each application’s integration path against approved enforcement patterns (application-integrated and service-fronting) and capturing technical prerequisites.
• Work directly with mission application and platform teams as the technical liaison for ZT integration - requirements capture, dependency identification, environment readiness, and issue resolution through validation.
• Support data-centric enablement for onboarding applications: application data flows, alignment to enterprise tagging and metadata standards, and attribute readiness for policy-based access decisions.
• Trace onboarding applications and candidate solutions to the program ZT capability model; identify gaps and onboarding blockers early and route them for adjudication.

Use Case & Process Development:

• Develop and document ZT use cases with application teams, capturing the access scenarios, data flows, and enforcement outcomes each onboarding must satisfy.
• Develop and maintain the onboarding process workflows - intake through validation, conformance evidence, and turnover - converting first-time integrations into repeatable playbooks.
• Maintain onboarding artifacts and records consistent with program delivery workflows and readiness processes.

Data Engineering & Reporting Pipelines:

• Design, build, and operate data collection and ingestion pipelines across heterogeneous sources (structured records, time series, APIs, unstructured text) with scheduled, rate-aware orchestration.
• Build and maintain layered data stores supporting delivery analytics and reporting - staged raw-to-curated patterns with immutable retention of source data and provenance-preserving normalization that retains raw values alongside normalized ones.
• Provision and maintain supporting infrastructure as code in on-premises and cloud-independent environments consistent with classified operating constraints.
• Instrument pipelines with dashboards, alerting, and data-quality monitoring; maintain reproducible lineage from source to report; deliver analysis-ready datasets to program reporting and visualization tools.

Coordination & Governance:

• Coordinate integration patterns, data definitions, and onboarding artifacts with Agency counterparts to prevent divergent handling of the same underlying activity.
• Handle application, delivery, and pipeline data consistent with Agency information-handling policy and classification requirements.
• Adhere to PWS/SOW scope boundaries and flag onboarding or data requests that fall outside implementation scope for adjudication.

• Education: BS degree in Computer Information Systems, Computer Science, Data Analytics, or a related field, or equivalent experience. MS in Business Analytics or related field preferred.
• 3+ years of data engineering, pipeline, or analytics engineering experience, including demonstrable end-to-end build depth (collection through storage, orchestration, and reporting); an advanced analytics degree may substitute for a portion of the experience requirement.
• DoD 8140 IAT Level II baseline certification (e.g., CompTIA Security+ CE), current at start.
• Proficiency in Python and SQL; hands-on experience with workflow orchestration, infrastructure as code, and observability tooling (e.g., Grafana, Prometheus, or equivalent).
• Demonstrated ability to work directly with application or mission teams - capturing requirements, resolving integration issues, and documenting processes others can execute.
• Familiarity with Zero Trust concepts and reference guidance (e.g., NIST SP 800-207, DoD Zero Trust framework) sufficient to support application onboarding and policy-based access integration.
• Experience supporting IC/DoD customers and engaging with senior Government personnel.