Data Engineer

Data Engineer

San Antonio, TX 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 Spark pipelines
• Hands-on experience with distributed data platforms including Hadoop and HDFS
• Practical experience designing, maintaining, or troubleshooting data ingestion flows using Apache NiFi
• Experience building or optimizing Spark-based data processing jobs (PySpark, Scala, or Java)
• Familiarity with Accumulo as a high-ingest, low-latency data store, including integration patterns, bulk loading, or iterator development

Clearance

Must have an active Secret clearance; TS/SCI preferred