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
ClearanceMust have an active Secret clearance; TS/SCI preferred
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$106,300-$206,200 USD
