Data Scientist - Databricks, DoD Clearance & Modernization

SMX; Sacramento (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

SMX is seeking a Data Scientist to join our team in Sacramento to support a Modernized Data Science Platform for a Federal customer. The role focuses on bridging business needs and technical solutions, with emphasis on requirements analysis, data-driven decision making, and IT transformation initiatives.

Responsibilities include designing Databricks-based solutions, refining data models, and promoting code to production.

Qualifications

• U.S. citizenship with an active DoD Secret clearance.
• Bachelor's degree in Computer Science or related field.
• At least 6 years of related work experience.
• Strong analytical, problem-solving and decision-making abilities.
• 5+ years hands-on development with Python and PySpark.
• Experience with DevOps and CI/CD pipelines using GitLab.
• Knowledge of cloud architectures (AWS/Azure) and database design.
• Ability to work cross-functionally and document requirements.

Responsibilities

• Design new solutions using Databricks to meet business requirements.
• Analyze and modify existing data models as needed.
• Promote code into production.
• Define test cases and verify results.
• Build data models and reports from ERP/legacy datasets.

Skills

Python

PySpark

CI/CD GitLab

Requirements elicitation

Cloud AWS/Azure

Database design

Analytical thinking

Independent worker

Code reviews

Documentation

Education

Bachelor's degree in CS

Tools

Git

Databricks

SQL

Job description

SMX is seeking a Data Scientist to join our team in Sacramento to support a Modernized Data Science Platform for a Federal customer. The role focuses on bridging business needs and technical solutions, with emphasis on requirements analysis, data-driven decision making, and IT transformation initiatives.

Responsibilities include designing Databricks-based solutions, refining data models, and promoting code to production.