Data Engineer
Job Description
<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>Accenture Federal Services is seeking a Data Engineer to join our team and support our client in the San Antonio, TX area. This role sits at the intersection of development and operations, focusing on creating CI/CD pipelines, managing cloud environments, and implementing Infrastructure as Code to ensure systems are scalable, secure, and resilient.</p> <p><strong>What you’ll be doing</strong></p> <ul> <li>Building, automating, and optimizing the infrastructure and processes that enable rapid, reliable software delivery</li> <li>Working closely with developers to integrate automation, improve deployment workflows, and monitor application performance to maintain high availability across environments</li> <li>Fostering a culture of collaboration, continuous improvement, and shared ownership across engineering teams</li> <li>Proactively identifying bottlenecks, recommending architectural enhancements, and championing practices such as containerization, configuration-as-code, and automated testing</li> <li>Aligning tooling, processes, and infrastructure with business needs to help teams deliver features faster, respond to issues quickly, and maintain a stable, secure operational posture</li> <li>Designing and enhancing large-scale data pipelines leveraging Hadoop, HDFS, Apache NiFi, Apache Spark, and Accumulo to support mission-critical data ingestion, processing, and analytics workflows</li> <li>Optimizing distributed systems performance, improving data reliability, and maintaining resilient ingest and analytic patterns across the Apache ecosystem</li> </ul> <p><strong>What you’ll need:</strong></p> <ul> <li>3 years of experience in CI/CD pipeline development and automation</li> <li>3 years of experience with cloud infrastructure management and monitoring</li> <li>3 years of experience with Infrastructure as Code and configuration management</li> <li>3 years of experience with containerization and automated testing</li> </ul> <p><strong>Bonus Points if you have:</strong></p> <ul> <li>Experience with troubleshooting and continuous process improvement</li> <li>Knowledge of tuning JVM/GC, YARN, tablet servers, or NiFi performance—aligned with the types of stability and modernization work reflected in internal AFS/Recro big-data engagements</li> <li>Experience supporting cyber operations or data engineering work in environments using Accumulo, NiFi, and Spark pipelines</li> <li>Hands-on experience with distributed data platforms including Hadoop and HDFS</li> <li>Practical experience designing, maintaining, or troubleshooting data ingestion flows using Apache NiFi</li> <li>Experience bu