Data Engineer

KeyLogic is hiring a Data Engineer to support the Department of the Air Force Chief Data and AI Officer in measuring and advancing enterprise data and SI maturity. The role builds and maintains data pipelines, assessment and scoring capabilities, dashboards, and reporting products to inform leadership decisions and support data-driven transformation.

Responsibilities:

• Collect, integrate, validate, and analyze data from enterprise platforms, mission systems, surveys, inventories, and other designated data sources
• Support the design, implementation, and continuous improvement of assessment, scoring, reporting, and visualization capabilities
• Transform disparate and complex data sources into trusted data products that support enterprise reporting, performance measurement, and decision-making
• Develop dashboards, scorecards, metrics, and analytics products that provide visibility into organizational maturity, capability adoption, performance trends, and strategic outcomes
• Collaborate with government stakeholders, assessment teams, platform owners, and functional organizations to establish data requirements, business rules, scoring methodologies, and reporting needs
• Evaluate data quality, completeness, accuracy, and consistency across assessment data sources and implement processes to improve data integrity
• Develop data models, analytical datasets, and reporting structures that enable enterprise-wide assessment and maturity analysis
• Create executive-level visualizations and reporting products that communicate assessment results, performance insights, risks, trends, and opportunities for improvement
• Support development and refinement of enterprise metrics, key performance indicators, and maturity measurement frameworks used to assess progress toward Data and SI strategic objectives
• Implement best practices for data engineering, analytics, documentation, and automation using Agile and DevSecOps methodologies
• Document data flows, transformation logic, scoring methods, integration patterns, and standard operating procedures to ensure transparency, repeatability, and long-term sustainment
• Build and maintain low-code enterprise solutions that streamline assessment administration, workflow management, information collection, and reporting activities
• Support prototype, pilot, and proof-of-concept initiatives that explore innovative approaches to data collection, assessment automation, analytics, and enterprise reporting
• Develop and execute test scenarios, validation procedures, and user acceptance testing activities for data platforms/integrations, pipelines, reporting solutions, and enterprise data products
• Partner with data scientists, architects, engineers, and mission stakeholders to advance data-driven decision-making and continuous improvement across the Department of the Air Force
• Provide technical expertise on enterprise data, analytics, and assessment practices while helping expand adoption of data-driven performance measurement and decision support capabilities

Requirements:

• DOD Secret Clearance Required
• Candidates must meet one of the following combinations:
• Bachelor's degree in computer science, information systems, engineering, data science, or a related technical field; equivalent directly relevant experience may be considered
• Minimum of seven (7) years of experience in data engineering, data integration, or related data-focused disciplines
• At least three (3) years of experience supporting data analytics environments, preferably within the Department of War, Intelligence Community, or other Federal organizations
• Experience designing, developing, and maintaining enterprise-scale data pipelines and ETL/ELT processes
• Experience collecting, integrating, cleansing, validating, and managing large structured and unstructured datasets
• Experience developing data visualizations, dashboards, and reporting solutions
• Familiarity with cloud-based data platforms and services, particularly AWS environments
• Experience with SQL and modern database technologies, including relational and analytical data platforms
• Experience supporting API integrations and data exchange mechanisms
• Knowledge of modern data architecture concepts including data lakes, data fabrics, data mesh, metadata management, and data governance
• Understanding of Agile delivery methodologies and DevSecOps practices
• Strong written and verbal communication skills with the ability to collaborate across technical and non-technical stakeholders
• Master's degree
• Top Secret Clearance
• Experience with DoW/DAF data ecosystems and mission systems
• Microsoft Power Apps and Power Platform experience strongly preferred
• Experience developing and applying DoDAF architecture views
• Palantir Foundry experience
• Familiarity with machine learning data pipelines and MLOps concepts
• Databricks experience a plus
• Relevant cloud, data engineering, or data analytics certifications a plus