Data Engineer

Category: Management Consulting | Location: Arlington, Virginia, United States | Tracking Code: 5553 | Position Type: Full-Time/Regular

About the role

CALIBRE, an employee‑owned mission‑focused solutions and digital transformation company, is seeking an experienced Data Engineer to develop production‑ready data products, analytics, and decision‑support applications using Army Vantage and the Department of War (DoW) War Data Platform (WDP). The incumbent will translate mission and business questions into governed data pipelines, analytical models, semantic data structures, dashboards, and workflow applications that enable timely, trusted decisions. This is a hands‑on delivery role working with mission owners, data stewards, engineers, analysts, and platform teams to integrate authoritative data, improve data quality, build reusable analytics, and transition solutions into sustained operations.

Key Responsibilities

• Partner with functional stakeholders to define decision problems, success measures, data requirements, and minimum viable analytic products.
• Ingest, profile, clean, transform, and integrate structured and unstructured data from authorized enterprise and legacy sources.
• Build and maintain scalable data pipelines, curated datasets, and reusable analytical data products using Python, SQL, PySpark/Spark, and platform‑native capabilities.
• Develop and maintain Vantage/Foundry data models, ontology‑aligned objects, transformations, workflows, dashboards, and user‑facing applications.
• Design mission‑appropriate analytical methods such as forecasting, anomaly detection, optimization, or classification when supported by data quality and operational need.
• Create clear visualizations, dashboards, and executive‑ready readouts using Vantage/Foundry tools and, as required, Power BI, Tableau, Qlik, or comparable approved tools.
• Implement data‑quality checks, lineage documentation, validation tests, model‑performance monitoring, and reproducible analytic workflows.
• Apply platform, data‑governance, cybersecurity, access‑control, and release requirements; coordinate with data owners and stewards to ensure proper use of authoritative data.
• Use Agile delivery practices: refine requirements, estimate work, demonstrate increments, document solutions, and manage technical debt.
• Train end users and analysts; create concise technical documentation, data dictionaries, user guides, and sustainment handoffs.
• Communicate findings, limitations, assumptions, and recommended actions clearly to both technical teams and senior non‑technical stakeholders.

Required Skills

• Proficiency in Python and SQL for data transformation, analysis, automation, and testing.
• Experience with Apache Spark or PySpark and distributed‑data processing concepts.
• Ability to translate ambiguous mission or business questions into implementable data and analytic requirements.
• Working knowledge of data governance, data quality, metadata, lineage, role‑based access, and responsible use of analytical models.
• Strong written and verbal communication skills, including explaining analytical results and limitations to decision‑makers.
• Experience developing in Army Vantage/Palantir Foundry (data transformations, pipeline orchestration, object/ontology modeling, workshop or application development, operational dashboards).
• Experience supporting WDP or a DoW/Service enterprise data environment.
• Familiarity with machine‑learning lifecycle practices: feature engineering, validation, deployment, monitoring, drift detection, and retraining.
• Experience with cloud data services, Databricks, Delta Lake, notebooks, APIs, Git‑based version control, and CI/CD or DevSecOps practices.
• Experience building low‑code/no‑code workflows that embed analytics into operational processes.
• Relevant platform or cloud certifications, if applicable to the contract.

Required Experience

• Bachelor’s degree in data science, computer science, statistics, mathematics, operations research, engineering, economics, or a related quantitative field (or equivalent relevant experience consistent with contract requirements).
• 5+ years of progressively responsible experience in data science, analytics engineering, data engineering, operations research, or comparable analytical work.
• Demonstrated experience developing data pipelines, analytical datasets, dashboards, and decision‑support products in an enterprise environment.
• Experience working in Army Vantage/Palantir Foundry, WDP, or a comparable governed enterprise data platform.
• Advanced degree in a related technical or quantitative discipline (preferred).
• Active Secret clearance required.

Benefits

CALIBRE offers a competitive salary and a full benefits package.

Schedule

Full‑Time / Regular