Data Engineer: Cloud Pipelines for Mission-Critical Data

Accenture

San Antonio (TX)

On-site

USD 106,000 - 206,000

Full time

9 days ago
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Job summary

Accenture Federal Services seeks a Data Engineer in the San Antonio, TX area to join a team delivering scalable data pipelines and automated deployment processes for federal clients. You will design and optimize large-scale data flows, implement infrastructure as code, and collaborate with developers to ensure reliable software delivery across environments, with a focus on security and resilience.

The role emphasizes building automated pipelines, monitoring distributed systems, and aligning

Qualifications

  • 3 years of CI/CD pipeline development and automation.
  • 3 years of cloud infrastructure management and monitoring.
  • 3 years of Infrastructure as Code and configuration management.
  • 3 years of containerization and automated testing.

Responsibilities

  • Build, automate, and optimize infrastructure and processes for fast, reliable software delivery.
  • Collaborate with developers to integrate automation and improve deployment workflows.
  • Foster collaboration and continuous improvement across engineering teams.
  • Identify bottlenecks and champion containerization, config-as-code, and automated testing.
  • Align tooling and infrastructure with business needs to ship features faster and maintain security.
  • Design and enhance large-scale data pipelines using Hadoop, HDFS, NiFi, Spark, and Accumulo.

Skills

CI/CD pipelines
Cloud infrastructure
Infrastructure as code
Containerization

Job description

Accenture Federal Services seeks a Data Engineer in the San Antonio, TX area to join a team delivering scalable data pipelines and automated deployment processes for federal clients. You will design and optimize large-scale data flows, implement infrastructure as code, and collaborate with developers to ensure reliable software delivery across environments, with a focus on security and resilience.

The role emphasizes building automated pipelines, monitoring distributed systems, and aligning

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