Data Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

Accenture Federal Services has an immediate hiring need for a Data Engineer to assist with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. If that sounds appealing to you - we'd love to chat.

Responsibilities:

• Develop stages of a distributed parallel data processing pipelines, which includes but is not limited to processes such as configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics
• Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform
• Follow agile methodologies when applied to the data engineering part of the system development life cycle (SDLC)
• Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material

Here's what you need:

• Bachelor’s degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) or 5 years of relevant
• 2 years of experience with software engineering or a data engineer and experience with Python, Java, or other programming languages
• 2 years of experience applying agile methodologies to the software development life cycle (SDLC)
• 2 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab
• 2 years of experience with distributed parallel streaming and batch data processing pipelines
• 2 years of experience integrating with data SDKs / APIs and data analytics SDKs / APIs

Bonus points if you have:

• Experience as a data engineer
• Experience developing, operating, and maintaining data processing pipelines in a classified environment
• Experience data mapping, modeling, enriching, and correlating classified data
• Experience with Python / PySpark
• Experience with Java / Java interface to Spark
• Experience with Palantir Foundry

Security Clearance: Active TS/SCI US Government security clearance is required

Salary: $97,600 - $143,200 USD (base pay range in specific states)