Data Engineer Associate Manager

Accenture Federal Services • Arlington, VA

35d

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 a senior Data Engineer, you will be a key technical contributor on the team building and maintaining the critical data pipelines for a data platform. You will apply your deep expertise to design, develop, and optimize robust ETL/ELT processes that move and transform data for DoD-wide use. In this role, you will not only build solutions but also mentor junior engineers and help drive the adoption of modern data engineering practices and automation.

Requirements

• 6+ years of experience in data engineering
• Strong experience with the development and maintenance of extract, transform, and load (ETL) tools and services
• Proficiency in Python, SQL, Spark, and PySpark
• Hands-on experience with cloud environments (AWS, Azure) and data platforms like Databricks, Palantir, or Snowflake
• Experience working in an Agile/Scrum development environment
• Familiarity with data orchestration and data quality processes
• Active TS Clearance or TS/SCI Clearance

Nice To Haves

• Experience working in high-security DoD environments (e.g., SIPR, JWICS)
• Hands-on experience with Databricks Delta Live Tables and Terraform
• Experience with containerization technologies like Docker or Kubernetes
• Knowledge of COTS and open-source data engineering tools such as NiFi or ElasticSearch

Responsibilities

• Design, build, and maintain scalable and resilient data pipelines for both new data sources and existing systems within the data platform ecosystem.
• Implement and optimize pipelines using modular patterns, such as Databricks Delta Live Tables, following governance from the architecture team.
• Develop and integrate automated monitoring, alerting, and data quality checks into every pipeline to reduce downtime and ensure data integrity.
• Utilize Infrastructure-as-Code (IaC) with tools like Terraform to create consistent, repeatable deployments and CI/CD processes.
• Analyze complex source data formats and collaborate with data scientists and stakeholders to design transformations that meet mission objectives.
• Participate in and lead code reviews, enforce best practices, and mentor junior data engineers.
• Troubleshoot and resolve complex issues with data pipelines, and contribute to the ongoing improvement of O&M processes.

What This Job Offers

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