Senior TS/SCI Full-Stack Data Engineer – On-Site Reston

IBM Computing; Frederick (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

IBM in Reston, VA seeks a TS//SCI-cleared Data Engineer with Advanced Analytics to design, build, and deploy data pipelines and analytics for senior DoW leaders. You will work in-person, shaping data-driven decisions and acquisition recommendations.

You will apply Python, SQL/NoSQL, NLP, and SPSS to collect, analyze, and present findings, including data visualization. The role emphasizes rigorous data preparation and stakeholder delivery.

Qualifications

• US Citizen with active TS//SCI clearance or eligible per DISS guidelines.
• Bachelor's Degree, preferably in STEM fields.
• 2+ years applying data engineering or software development to deliver analytic tools and visualization capabilities.
• 2+ years using Python or similar languages (Ruby, Java, R).
• 2+ years with database development (SQL/NoSQL).
• 1+ year leveraging prompt engineering and GenAI tools professionally.
• Experience with advanced text parsing tools including regex and NLP.

Responsibilities

• Design, build, and manage data solutions including data preparation, statistical analysis, data collection/mining and deployment of analysis results.
• Perform statistical analysis and data mining to identify trends using predictive analytics tools like SPSS.
• Formulate mathematical approaches including optimization, discrete-event simulation, and rules programming.
• Prepare and collect data ensuring quality and integrity for analysis.
• Deploy analysis results and present insights to stakeholders for business improvements.

Skills

Python

SQL/NoSQL

Prompt engineering

Data visualization

Education

Bachelor's degree in STEM

Master's degree in STEM (preferred)

Tools

SPSS

NLP

Regex

Job description

IBM in Reston, VA seeks a TS//SCI-cleared Data Engineer with Advanced Analytics to design, build, and deploy data pipelines and analytics for senior DoW leaders. You will work in-person, shaping data-driven decisions and acquisition recommendations.

You will apply Python, SQL/NoSQL, NLP, and SPSS to collect, analyze, and present findings, including data visualization. The role emphasizes rigorous data preparation and stakeholder delivery.