Data Platform Engineer

Accenture Federal Services•Suitland, MD

8d•$98,200 - $102,800

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve the lives of its citizens. Our team of over 13,000 professionals is dedicated to leveraging technology and innovation for clients across defense, national security, public safety, civilian, and military health organizations. As a technology company within the global Accenture network, we are recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive community where individuals feel a sense of belonging and are empowered to grow through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance critical missions for the government. In this role, you will collaborate closely with various combatant commands, providing technical guidance for navigating the WDP environment. As a Data Engineer, you will be instrumental in developing and maintaining robust data platforms that support vital government operations.

Requirements

Experience with GitLab for repository management, merge requests, and code reviews
Proficiency in Databricks, developing and maintaining notebooks and workflows
Strong understanding of DevSecOps practices
Familiarity with Jira and Confluence for project management and documentation
API development and integration skills (Databricks, GitLab, Confluence, etc.)
Advanced Python programming skills
Ability to troubleshoot access controls and resolve issues with Python libraries
Experience collaborating with cross-functional technical teams
An active secret clearance is required

Nice To Haves

Exposure to tools such as DevSecOps, Jira, Confluence
Experience with API development and Python

Responsibilities

Troubleshoot access control issues and resolve challenges related to missing Python libraries, ensuring seamless operations for all stakeholders.
Develop and maintain Databricks notebooks and workflows, supporting the auditing of engineering practices across the Embedded Support Division (ESD).
Utilize APIs from platforms such as Databricks, GitLab, and Confluence to collect and analyze project activity data throughout the entire lifecycle, from initial development through deployment and ongoing usage.
Assist ESD leadership with the research, evaluation, and implementation of new features and tools designed to enhance the technical environment.
Manage the Central team’s GitLab repository, establishing standards for merge requests and code reviews.
Set up and maintain integrations between GitLab and Databricks, enabling a foundational CI pipeline that streamlines development processes within the team.