Everforth ECS is seeking an Analytic Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. Please Note: This position is contingent upon contract award.
The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business and financial data from operational warfighting data, aiming to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.
The Analytic Engineer is responsible for designing, building, and operating the analytic data capabilities that underpin mission-driven insights across all WDP security enclaves. In this role, the Analytic Engineer transforms raw enterprise data into high-quality, analytics-ready assets that directly enable AI deployment and informed decision-making in support of the U.S. Department of War's most critical missions.
• Develops and operates analytic data processing capabilities supporting the War Data Platform (WDP) Core Integration enterprise across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
• Builds analytic transformations, query models, and feature-ready datasets using Databricks, Spark, Python, SQL, and Apache Airflow to enable mission analytics for Combatant Commands, Joint Staff elements, and interagency partners.
• Implements structured ingestion and refinement workflows aligned to medallion-architecture bronze, silver, and gold zones, incorporating metadata tagging, lineage tracking, and schema harmonization to strengthen reuse and analytic readiness.
• Applies data quality monitoring techniques including drift detection, rule-based validation, profiling engines, and anomaly scoring to elevate accuracy, completeness, and timeliness across lake environments.
• Applies approved encryption, IAM, and audit-control patterns in coordination with platform and cybersecurity teams.
• Supports analytic issue triage by diagnosing data defects, transformation errors, and dataset inconsistencies, escalating platform or infrastructure issues through established support channels.
• Collaborates with data engineering, data tooling, platform operations, and governance teams to align analytic datasets with enterprise reference architectures and catalog requirements.
• Develops dashboards using tools such as Tableau, Power BI, Databricks SQL, and Grafana to present availability metrics, throughput indicators, drift scores, latency patterns, and enrichment performance.
• Produces documentation covering analytic workflows, model-ready tables, transformation logic, and operational dependencies to support maintainability, onboarding, and analytic mission expansion across all War Data Platform (WDP) Core Integration enclaves.
• Performs other duties as assigned.
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 3-10 years of experience in data analytics, data engineering, or a closely related technical discipline, with demonstrated hands-on proficiency in Python, SQL, and at least one major cloud data platform such as Databricks, AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience designing and maintaining data transformation workflows, analytic pipelines, and query models in multi-classification or multi-enclave environments, with applied knowledge of medallion architecture principles, metadata management, and data quality monitoring techniques.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).
