Innovation And Automation Specialist

Accenture Federal Services

Arlington, VA, United States
Base: $93,400—$176,200 usd; bonus/equity: not spec...
On-site
Automated data engineering solutions
Reusable etl/elt pipeline templates
Automated data quality and testing frameworks
Accenture Federal Services is seeking an Innovation and Automation Specialist to enhance their data engineering capabilities. The role focuses on creating reusable frameworks and automated solutions to improve data pipeline efficiency for federal government projects

Job Summary

  • Your mission is to design, develop, and implement the reusable frameworks, automated patterns, and core tooling that our data engineering teams will use to build their own pipelines faster, more reliably, and more consistently.
  • Develop and maintain a library of standardized, reusable ETL/ELT pipeline templates using Python, SQL, and frameworks like Databricks or Snowflake.
  • Contribute to the development of Infrastructure-as-Code (IaC) modules (Terraform) for the automated provisioning of data infrastructure.

Matching Summary

Match Score: 85

Accenture Federal Services is seeking an Innovation and Automation Specialist to enhance their data engineering capabilities. The role focuses on creating reusable frameworks and automated solutions to improve data pipeline efficiency for federal government projects.

Salary

Base: $93,400—$176,200 USD; Bonus/Equity: Not specified; Benefits: Accenture Federal Services offers a wide variety of benefits.

Skills & Requirements

Must-have

  • Automated data engineering solutions
  • Reusable ETL/ELT pipeline templates
  • Automated data quality and testing frameworks
  • Infrastructure-as-Code with Terraform
  • CI/CD for Data (DataOps) pipelines

Nice-to-have

  • DevOps or Site Reliability Engineering experience
  • Direct 'pipeline factory' framework experience
  • Experience in high-security DoD or IC environment

Key Requirements

  • 5+ years of hands-on experience in data engineering
  • Expert-level programming skills in Python and advanced SQL
  • Experience building data pipelines in a cloud environment (AWS, Azure) on Databricks or Snowflake
  • Strong hands-on experience with Infrastructure-as-Code (IaC) using Terraform
  • Demonstrable experience with CI/CD principles and tools applied to data workflows
  • Active TS or TS/SCI clearance

Work Rights

Active TS or TS/SCI clearance

Tailored Resume

Cover Letter