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Data Engineer, Senior
Phase2 Technology
- Nevada, Missouri, United States
- Nevada, Missouri, United States
Über
Job Overview As a Senior Data Engineer, you’ll build advanced technology solutions and implement data engineering activities on mission-driven projects. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful, and you’ll guide a multi‑disciplinary team in a fast‑paced, agile environment.
Responsibilities
Help build advanced technology solutions and implement data engineering activities on mission-driven projects.
Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment.
Use analytical exploration and data examination experience while managing assessment, design, building, and maintenance of scalable platforms for clients.
Use data to impact important missions—from fraud detection to cancer research to national intelligence.
Required Qualifications
6+ years of experience architecting and delivering AI‑enabled mission or enterprise systems, including data integration, secure compute environments, and operator‑facing applications in restricted or classified settings.
6+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multiclassification environments.
6+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts.
6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments.
6+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM‑enabled assistants, model‑augmented decision aids, or automation solutions.
6+ years of experience making architectural trade‑offs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high‑pressure timelines.
Experience rapidly learning unfamiliar technologies and supporting engineering teams through implementation.
Experience communicating architectural decisions and solution impacts to engineers, government clients, and senior non‑technical stakeholders.
Secret clearance.
Bachelor’s degree.
Preferred Qualifications
Experience supporting multi‑cloud, multi‑enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks.
Experience contributing to defense programs or large systems integration efforts involving acquisition, compliance, or organizational complexity.
Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation or inconsistent technical baselines.
Experience developing agentic workflows, automation pipelines, or custom tooling to increase engineering throughput or reduce operator workload.
Experience serving in a technical lead capacity responsible for system design and delivery.
Experience participating in tiger teams, flyaway teams, or rapid‑response missions requiring accelerated delivery under complex conditions.
Top Secret clearance.
AWS, Palantir Foundry or Gotham, Kubernetes, or comparable architecture framework certification(s).
Clearance Level Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation and Benefits Salary range: $77,600.00 to $176,000.00 (annualized USD). The compensation is based on location, education, experience, and contract-specific factors. The posting will close within 90 days from the Posting Date.
Benefits include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work‑life programs; dependent care; and recognition awards. Full‑time and part‑time employees working at least 20 hours a week are eligible for benefit programs.
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Sprachkenntnisse
- English
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