Innovation and Automation Specialist

Responsibilities

• Act as a technical expert on the design and implementation of automated data engineering solutions
• Develop and maintain a library of standardized, reusable ETL/ELT pipeline templates using Python, SQL, and frameworks like Databricks or Snowflake
• Engineer and implement robust, automated data quality and testing frameworks (e.g., using tools like Great Expectations) that are embedded within the core pipeline templates
• Contribute to the development of Infrastructure-as-Code (IaC) modules (Terraform) for the automated provisioning of data infrastructure
• Enhance and optimize the CI/CD for Data (DataOps) pipelines, ensuring seamless and reliable deployment of data workflows
• Serve as an escalation point for the most complex data engineering and automation challenges, providing expert-level troubleshooting and guidance to other engineers
• Mentor other data engineers on automation best practices, code standards, and the use of the frameworks you build
• Research and prototype cutting-edge data engineering and automation technologies to drive continuous improvement

Must Have

• 5+ years of hands-on experience in data engineering
• Expert-level programming skills in Python and advanced SQL
• Proven, in-depth experience building and optimizing data pipelines in a cloud environment (AWS, Azure) on platforms like Databricks or Snowflake
• Strong, hands-on experience with Infrastructure-as-Code (IaC) using Terraform
• Demonstrable experience with CI/CD principles and tools (e.g., GitLab CI, Jenkins, GitHub Actions) applied to data workflows
• Deep understanding of modern data architecture, data modeling, and software engineering best practices

Nice to Have

• Experience in a DevOps or Site Reliability Engineering (SRE) role
• Direct experience developing and operationalizing a "pipeline factory" or similar framework
• Familiarity with data orchestration tools (e.g., Airflow) and containerization (Docker, Kubernetes)
• Experience working in a high-security DoD or Intelligence Community environment
• Proven ability to diagnose and resolve complex performance, data quality, and system-level issues

Qualifications

• Active TS or TS/SCI clearance

Benefits

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:

• $93,400 - $176,200 USD

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states listed above, 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.