Data Engineer

<div class="content-intro"><div> <div> </div> <div>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. </div> <div> </div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p>AFS is in search of a Data Engineer to develop stages of distributed parallel data processing pipelines, which includes but is not limited to:</p> <ul> <li>configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics</li> </ul> <p> </p> <p><strong>Responsibilities: </strong></p> <ul> <li>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)</li> <li>Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material</li> </ul> <p><strong> </strong></p> <p><strong>Required Qualifications</strong>:</p> <ul> <li>5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)</li> <li>5 years of experience with distributed parallel streaming and batch data processing pipelines</li> <li>5 years of experience with Python, Java, or other programming languages</li> <li>3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)</li> <li>3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment</li> <li>3 years of experience integrating with data SDKS / APIs and data analytics SDKS / APIs</li> <li>3 years of experience with data mapping, modeling, enriching, and correlating classified data</li> <li>3 years of experience with the identification and deduplication of data sources and record types to meet military requirements</li> <li>3 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.</li> <li>1 year of experience with Python/PySpark</li> <li>1 year of experience with Java/Java interface to Spark</li> </ul> <p><strong> </strong></p> <p><strong>CLEARANCE:</strong></p> <ul> <li>Active TS/SCI is required</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><span class="TextRun SCXW225111203 BCX8" lang="EN-US" data-contrast="auto"&