Data Engineer
Accenture Federal Services
$106,300 - $206,200 / year
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Description
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:
- Experience working in a cloud environment
- Experience with Infrastructure as Code tool(s) (e.g.: Terraform, Ansible, etc.)
- Experience with containerization (e.g.: Docker)
- Experience with automated testing
Bonus Points if you have:
- Familiarity with CI/CD pipeline development and automation
- 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 be eligible to obtain a US Government clearance
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.
About this role
Accenture Federal Services is hiring a Data Engineer to work on-site in San Antonio supporting federal government clients. The role bridges infrastructure and data engineering, requiring you to build and optimize CI/CD pipelines, manage cloud environments using Infrastructure as Code, and design large-scale data processing systems. You'll work with developers to automate deployments, monitor performance, and troubleshoot distributed systems while championing practices like containerization and configuration management across engineering teams.
The position demands three years of hands-on experience in each of CI/CD automation, cloud infrastructure, Infrastructure as Code, and containerization. Beyond those core requirements, the role heavily favors candidates with practical experience in the Apache ecosystem—particularly Hadoop, HDFS, Apache Spark, and Apache NiFi—as well as familiarity with Accumulo for high-throughput data storage. You should be comfortable tuning JVM performance, designing data ingestion flows, and building or optimizing Spark jobs. An active Secret clearance is required; TS/SCI is preferred.
This is a federal contracting role suited to engineers who want to apply their infrastructure and data platform expertise to national security and defense missions. The salary range is $106,300–$206,200 depending on experience and location, with the higher end reflecting positions in high-cost states and DC.
How this employer is doing
average
- News: Growing or Expanding
Typical pay for this role
$120,000
Typical range: $100,000 to $140,000
This role's local market on JobMinglr
Pay for this role
$106,300 to $206,200 per year
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