Innovation and Automation Data Engineer

Accenture Federal Services • Arlington, VA

38d

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! As the Innovation and Automation Data Engineer Lead, you will be a hands-on leader of a specialized team that serves as the engineering backbone for our entire data organization. You will combine deep expertise in data engineering with a passion for automation to build the foundational frameworks that our Data Engineering and Data Product teams use every day. Your primary mission is to design, create, and manage reusable data pipeline templates, automated deployment patterns, and data quality frameworks. This is a "player-coach" role where you will set the technical vision for data engineering automation while mentoring a team and contributing directly to its most complex challenges.

Requirements

• 5+ years of experience in data engineering, with a strong focus on automation and platform development
• 2+ years of experience in a technical leadership or mentorship role, supervising a team or guiding junior engineers
• Expert-level skills in Python and SQL
• Proven experience building and optimizing data pipelines on platforms like Databricks or Snowflake
• Hands-on expertise with Infrastructure-as-Code (Terraform) and CI/CD tools (e.g., GitLab CI, Jenkins)
• Deep understanding of data architecture, data modeling, and modern data warehousing concepts
• Active TS or TS/SCI clearance

Nice To Haves

• Experience with data orchestration tools like Airflow
• Familiarity with containerization technologies (Docker, Kubernetes)
• Strong project management skills with experience in cross-functional initiatives

Responsibilities

• Lead and mentor a team of automation-focused data engineers responsible for building and maintaining core data infrastructure frameworks
• Design and develop standardized, reusable ETL/ELT data pipeline templates for ingestion, transformation, and data product creation
• Architect and implement the CI/CD for Data (DataOps) strategy, enabling automated testing, validation, and deployment of data pipelines
• Integrate and manage automated data quality, testing, and monitoring tools (e.g., Great Expectations) directly into the core pipeline templates
• Develop and maintain a library of Infrastructure-as-Code (IaC) modules (e.g., Terraform) for provisioning common data engineering resources
• Collaborate with platform and data engineering teams to identify complex problems, troubleshoot bottlenecks, and engineer automated solutions
• Drive innovation by researching, prototyping, and implementing new technologies and patterns to improve the efficiency and reliability of our data engineering processes
• Document data workflows and automation processes to ensure they are understood and adopted across the organization

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed