Sr. Data Engineer (TS/SCI)

IBM; Alexandria (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

IBM Consulting seeks a TS/SCI cleared Data Engineer to help build mission-critical intelligence workflows for senior leaders in the Office of the Under Secretary of War. The role emphasizes data wrangling, analysis, and visualization to support decision-making across defense intelligence programs.

Candidates will apply Python, JavaScript, Java, and other tools to deliver analytics, dashboards and decision-support capabilities, collaborating with DoW/IOUSW(I&S) teams.

Qualifications

• US Citizen with active TS/SCI clearance.
• Bachelor’s degree in STEM fields.
• 7+ years applying data engineering or software development to analytic tools and data visualization.
• 5+ years programming in Python/JavaScript/Java/VBA/R for data engineering or software development.
• 1+ years using graph databases to deliver analytics.

Responsibilities

• Build mission-critical intelligence workflows to enable decision advantage for senior leaders.
• Provide data-driven analysis to improve intelligence system effectiveness.
• Wrangle, clean, analyze and visualize data for decision-support tools.
• Collaborate with DoW/OUSW(I&S) stakeholders to drive data initiatives.

Skills

Python

JavaScript

Java

VBA

R

Graph databases

Data visualization

Education

Master's Degree

Bachelor's Degree in STEM fields

Tools

MongoDB

PostgreSQL

React

Node.js

Job description

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Our team is committed to providing senior National Security leaders with decision-worthy data and analysis to improve the effectiveness of Intelligence systems supporting DoW Warfighters. The team is building mission-critical intelligence workflows to produce decision advantage for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and general understanding of the defense intelligence enterprise. Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of War.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• US Citizen with active TS/SCI clearance or show immediate eligibility according to DISS security database (SCI within last 2 years)
• Bachelor’s Degree, preferably in STEM fields.
• 7+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities.
• 5+ years of experience using programming languages (e.g. Python, JavaScript, Java, Visual Basic for Applications, R) to deliver data engineering and/or software development services.
• 1+ years of experience leveraging graph databases and platforms to deliver analytics.

Preferred Technical And Professional Experience

• Master’s Degree, preferably in STEM fields.
• 5+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired
• 5+ year of experience with database development (e.g. MongoDB, PostgreSQL) or Web Development (e.g. JavaScript, React, Node.js)
• 5+ years of experience in leading data engineering or software development teams
• Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing