Lead, Data Engineering & Analytics - TS/SCI Required

Role Overview

Lead a multidisciplinary team of data engineers and data scientists to deliver modern data pipelines and advanced analytics in support of mission decision-making. Collaborate with stakeholders to understand processes, define analytical requirements, and communicate results.

What You Will Do

Manage delivery of projects, including timelines, deliverables, resources, and quality. Provide technical and process consulting in support of mission outcomes. Lead the modernization, maintenance, and scaling of data pipelines, data warehouses, and related infrastructure.

Why It Might Be a Fit

Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated ability to mentor and develop junior team members across data engineering and data science disciplines.

Requirements

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline
• 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead
• Proficiency in Python and SQL
• Strong working knowledge of relational databases
• Experience with designing, building, and maintaining ETL/ELT pipelines and data integration workflows
• Familiarity with core data science and analytics libraries in Python
• Experience building visualizations, dashboards, and lightweight analytic applications
• Exposure to additional analytic, visualization, and programming tools
• Familiarity with data engineering and data science methods

Benefits

• Salaried High Fringe/Full-Time
• Health insurance
• Retirement plan
• Paid time off
• Other benefits (not specified)