TS/SCI Data Solutions Engineer - Real-World ML/Data Pipelines

IBM Computing; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Job summary

IBM seeks a Data Solutions Engineer to turn raw, fragmented data into actionable insights usable in real mission conditions. You will shape data, build models, and deliver outputs for decision making.

The role requires US Citizenship with an active TS/SCI clearance and Full Scope Polygraph, onsite in the Washington, DC metro area. Bachelor’s in a technical field and 5+ years in data science or related roles are expected.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field, or equivalent practical experience

Responsibilities

• Work directly with raw and incomplete data to structure, process, and use it effectively.
• Develop and apply models and analytical methods to identify meaningful patterns, behaviors, and signals.
• Build and support data pipelines that enable consistent, repeatable processing across datasets.
• Integrate internal and external models into working systems and adjust them as data or conditions change.
• Operate effectively in secure environments with limited remote flexibility.

Skills

Python

SQL

Data pipelines

Machine learning

Data analysis

Team collaboration

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field

Tools

APIs

Containers / Docker

Cloud environments

Job description

IBM seeks a Data Solutions Engineer to turn raw, fragmented data into actionable insights usable in real mission conditions. You will shape data, build models, and deliver outputs for decision making.

The role requires US Citizenship with an active TS/SCI clearance and Full Scope Polygraph, onsite in the Washington, DC metro area. Bachelor’s in a technical field and 5+ years in data science or related roles are expected.