Full-Stack Data Engineer (TS/SCI)

IBM; Maryland; On-site; USD 110,000 - 165,000; Full time

Job summary

IBM is seeking a TS//SCI cleared Full Stack Data Engineer to design and implement data-centric solutions for DoW ISR programs. The role emphasizes data preparation, statistical analysis, data mining, and deploying insights to senior leaders, with a focus on Python, SQL/NoSQL, data visualization, and GenAI.

The position is in Reston, VA, in-person and full-time. Ideal candidates have 2+ years of experience in data engineering or software development, strong analytical skills, and familiarity with

Qualifications

• US Citizen with active TS//SCI clearance or eligible according to DISS.
• Bachelor’s Degree, preferably in STEM fields.
• 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities.
• 2+ years of experience using Python or similar programming languages (Ruby, Java, R).
• 2+ years of experience with database development (SQL and NoSQL).
• 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context.
• Experience with advanced text parsing tools to include regex and NLP.

Responsibilities

• Design, build, and manage data solutions involving data preparation, statistical analysis, data collection, data mining, and deploying analysis results.
• Perform statistical analysis and data mining to identify trends and patterns; utilize predictive analytics tools like SPSS to draw conclusions.
• Formulate mathematical approaches to solve complex problems, including optimization, discrete-event simulation, and rules programming.
• Prepare and collect data for analysis, ensuring data quality and integrity.
• Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement.

Skills

Python

SQL

NoSQL

GenAI

Regex

NLP

Java

Education

Bachelor's Degree in STEM

Master's Degree in STEM

Tools

SPSS

Job description

Introduction

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 conducts empirical analysis to provide definitive accounts of DoW ISR contributions to operations and generates data-driven acquisition recommendations for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and a general understanding of the defense intelligence enterprise. Our data engineering team leverages open-source and enterprise languages and tools to pull, clean, analyze, and display data in decision support tools for senior leaders within the Department of War. Work location is in Reston, VA, and is full-time in-person.

Introduction

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 conducts empirical analysis to provide definitive accounts of DoW ISR contributions to operations and generates data-driven acquisition recommendations for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and a general understanding of the defense intelligence enterprise. Our data engineering team leverages open-source and enterprise languages and tools to pull, clean, analyze, and display data in decision support tools for senior leaders within the Department of War. Work location is in Reston, VA, and is full-time in-person.

Your Role And Responsibilities

• Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results.
• Perform Statistical Analysis: Perform statistical analysis and data mining to identify trends and patterns and utilize predictive analytics tools like SPSS to draw conclusions and present findings.
• Formulate Mathematical Approaches: Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming.
• Prepare and Collect Data: Gather and prepare data for analysis, ensuring data quality and integrity.
• Deploy Analysis Results: Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement.

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.
• 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities.
• 2+ years of experience using Python or similar programming languages (Ruby, Java, R).
• 2+ years of experience with database development (SQL and NoSQL).
• 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context.
• Experience with advanced text parsing tools to include regex and NLP.

Preferred Technical And Professional Experience

• Master’s Degree, preferably in STEM fields.
• 2+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired
• Experience developing and delivering technology in at least two of the following areas with a willingness to expand to all: data analytics, machine learning, artificial intelligence, data visualization, geospatial analysis, web services, or database development.
• Experience in web design and development using HTML and CSS.
• Experience in advanced AI techniques - fine-tuning ML models and LLMs, implementing chat sessions via API, retrieval-augmented generation, agentic workflows/tooling/function calling, and/or context window optimization