Data Engineer
About The Position
At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve lives through technology and ingenuity. We are seeking a Data Engineer to join our team and support our client in the San Antonio, TX area. This role focuses on creating CI/CD pipelines, managing cloud environments, and implementing Infrastructure as Code to ensure systems are scalable, secure, and resilient. You will be building, automating, and optimizing infrastructure and processes for rapid, reliable software delivery, working closely with developers to integrate automation, improve deployment workflows, and monitor application performance. You will also foster collaboration, continuous improvement, and shared ownership, proactively identifying bottlenecks and recommending architectural enhancements. Additionally, you will design and enhance large-scale data pipelines leveraging Hadoop, HDFS, Apache NiFi, Apache Spark, and Accumulo for data ingestion, processing, and analytics, while optimizing distributed systems performance and data reliability.
Requirements
- 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
- Must have an active Secret clearance; TS/SCI preferred
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
