Data Engineer

Koitecc Solutions; Arlington, Northern (VA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

CALIBRE is seeking an experienced Data Engineer to develop production-ready data products and analytics using Army Vantage and DoW WDP capabilities. You will translate mission and business questions into governed data pipelines, dashboards, and decision-support applications to enable timely, trusted decisions.

The role is hands-on, collaborating with mission owners, data stewards, engineers, analysts, and platform teams to deliver scalable data solutions and sustainment into operations and

Qualifications

• Bachelor's degree in a quantitative field or equivalent.
• 5+ years of experience in data engineering or analytics.
• Experience developing data pipelines and analytical datasets in an enterprise environment.
• Direct experience with Army Vantage/Palantir Foundry, WDP, or comparable platforms.
• Active Secret clearance required.
• Strong communication and cross-functional collaboration.

Responsibilities

• Ingest, profile, clean, transform, and integrate data from multiple sources.
• Build scalable data pipelines and curated datasets.
• Develop dashboards and analytics using Vantage/Foundry and BI tools.
• Ensure data governance, quality, and security controls.
• Collaborate with stakeholders to translate questions into data products.

Skills

Python

SQL

Spark

Agile delivery

Communication

Education

Bachelor's degree in data science or related

Advanced degree preferred

Tools

Databricks

Delta Lake

Power BI

Tableau

Palantir Foundry

Army Vantage

WDP

Job description

Data Engineer

CALIBRE is an employee-owned mission focused solutions and digital transformation company. CALIBRE is seeking an experienced Data Engineer to develop production-ready data products, analytics, and decision-support applications using Army Vantage and Department of War (DoW) War Data Platform (WDP) capabilities. 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. The successful candidate will work 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, including forecasting, anomaly detection, optimization, or classification when supported by data quality and operational need.
• Develop 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 nontechnical stakeholders.

• Demonstrated 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 the ability to explain analytical results and limitations to decision‑makers.
• Ability to work effectively in a cross‑functional Agile team.
• Direct experience developing in Army Vantage/Palantir Foundry, including data transformations, pipeline orchestration, object/ontology modeling, Workshop or application development, and operational dashboards.
• Experience supporting WDP or a DoW/Service enterprise data environment.
• Experience 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 with readiness, sustainment, logistics, financial management, acquisition, force management, personnel, or other large‑scale DoW business and mission data.
• Experience building low‑code/no‑code workflows that embed analytics into operational processes.
• Relevant platform or cloud certifications, if applicable to the contract.

• Bachelor's degree in data science, computer science, statistics, mathematics, operations research, engineering, economics, or a related quantitative field; equivalent relevant experience may be considered 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 related technical or quantitative discipline.
• Active Secret clearance required.

Arlington, Virginia, United States

Full‑Time/Regular