Remote Data Engineer — Enterprise Data & Analytics

KeyLogic, LLC; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

KeyLogic is seeking a Data Engineer to support the Air Force's Chief Data and AI Officer by building data pipelines, dashboards, and analytics that measure enterprise data maturity and performance. You will work across enterprise platforms and mission systems to enable scalable, repeatable assessment processes within the DAF Data Mesh Environment.

The role emphasizes collaboration with government stakeholders, data scientists, and engineers, delivering trusted data products and enterprise

Qualifications

• 7+ years in data engineering, data integration, or similar.
• Experience with data analytics environments in federal or defense sectors preferred.
• Design, develop, and maintain enterprise-scale data pipelines (ETL/ELT).
• Experience with large structured and unstructured datasets.
• Experience creating data visualizations, dashboards, and reporting solutions.
• Familiarity with AWS cloud services and modern data architectures (data lakes, data mesh).
• Understanding of Agile and DevSecOps practices.

Responsibilities

• Collect and integrate data from enterprise platforms and mission systems.
• Develop dashboards, scorecards, and analytics products for visibility into maturity and performance.
• Transform complex data into trusted data products for enterprise reporting and decision making.
• Collaborate with stakeholders to define data requirements and reporting needs.
• Ensure data quality, completeness, and consistency across sources.
• Create executive-ready visualizations and reporting artifacts.

Skills

Analytical thinking

Communication

Problem solving

Education

Bachelor's degree

Master's degree preferred

Tools

AWS

SQL

APIs

Data modeling

Job description

KeyLogic is seeking a Data Engineer to support the Air Force's Chief Data and AI Officer by building data pipelines, dashboards, and analytics that measure enterprise data maturity and performance. You will work across enterprise platforms and mission systems to enable scalable, repeatable assessment processes within the DAF Data Mesh Environment.

The role emphasizes collaboration with government stakeholders, data scientists, and engineers, delivering trusted data products and enterprise