Data Engineer

San Antonio, TXfull time

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On Site

$92k–$179k

H1B: no

Accenture Federal Services The Data Engineer at Accenture Federal Services focuses on building and optimizing infrastructure and data pipelines to support rapid, reliable software delivery for federal clients. The role involves cloud environments, Infrastructure as Code, containerization, and large-scale data processing technologies.

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

Qualification

Experience with containerization (eExperience with automated testingKnowledge of tuning JVM/GCPractical experience designing

Required

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

Preferred

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