Data Platform Engineer

accenturefederalservices; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Accenture Federal Services is seeking a data engineer to build and maintain data engineering workflows using Databricks, APIs, and GitLab integrations to support project activity tracking. You will collaborate with cross‑functional technical teams, troubleshoot permissions and dependencies, and help guide engineering practices.

The role requires active Secret clearance and willingness to pursue TS/SCI. Databricks notebooks and workflows will be central, along with API-driven data analysis and CI

Qualifications

• Experience with GitLab or GitHub workflows, including merge requests and code reviews.
• Databricks experience developing and maintaining notebooks or workflows.
• Python programming skills and some experience building or integrating APIs.
• Ability to investigate permissions and dependency issues.
• Experience working with cross-functional technical teams.
• Active Secret clearance and willingness to pursue TS/SCI clearance.

Responsibilities

• Develop and maintain Databricks notebooks and workflows used to review engineering activity.
• Use APIs to gather and analyze project data across development, deployment, and ongoing use.
• Troubleshoot access-control problems and missing Python dependencies.
• Manage a shared GitLab repository, including setting expectations for merge requests and code reviews.
• Build and maintain GitLab and Databricks integrations to support a foundational CI pipeline.
• Evaluate tools and features, and improve visibility across project tracking and code repositories.

Skills

GitLab/GitHub workflows

Databricks notebooks

Python programming

API integration

Cross-functional teamwork

Security clearance

Tools

Databricks

GitLab

GitHub

Job description

Role overview

Build and maintain data engineering workflows that help technical teams track project activity and improve their development environment. The role combines hands-on Databricks and repository work, API integrations, troubleshooting, and guidance on tools and engineering practices.

Responsibilities

• Develop and maintain Databricks notebooks and workflows used to review engineering activity.
• Use APIs to gather and analyze project data across development, deployment, and ongoing use.
• Troubleshoot access-control problems and missing Python dependencies.
• Manage a shared GitLab repository, including setting expectations for merge requests and code reviews.
• Build and maintain GitLab and Databricks integrations to support a foundational CI pipeline.
• Evaluate tools and features, and improve visibility across project tracking and code repositories.

Requirements

• Experience with GitLab or GitHub repository workflows, including merge requests and code reviews.
• Databricks experience developing and maintaining notebooks or workflows.
• Python programming skills and some experience building or integrating APIs.
• Ability to investigate permissions and dependency issues.
• Experience working with cross-functional technical teams.
• Active Secret clearance and willingness to pursue TS/SCI clearance.

Nice to have

• Knowledge of DevSecOps practices.
• Familiarity with Jira and Confluence for project tracking and documentation.