Data Engineer
Accenture Federal Services · San Antonio, TX · United States · On-site
Pay: USD 106,300 – 206,200 a year
Posted Sep 25, 2026
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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, 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.
Join us to drive positive, lasting change that moves missions and the government forward!
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.
What you’ll be doing
Building, automating, and optimizing the infrastructure and processes that enable rapid, reliable software delivery
Working closely with developers to integrate automation, improve deployment workflows, and monitor application performance to maintain high availability across environments
Fostering a culture of collaboration, continuous improvement, and shared ownership across engineering teams
Proactively identifying bottlenecks, recommending architectural enhancements, and championing practices such as containerization, configuration-as-code, and automated testing
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
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
Optimizing distributed systems performance, improving data reliability, and maintaining resilient ingest and analytic patterns across the Apache ecosystem
What you’ll need:
3 years of experience in CI/CD pipeline development and automation
3 years of experience with cloud infrastructure management and monitoring
3 years of experience with Infrastructure as Code and configuration management
3 years of experience with containerization and automated testing
Bonus Points if you have:
Experience with troubleshooting and continuous process improvement
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
Experience supporting cyber operations or data engineering work in environments using Accumulo, NiFi, and…