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# Specialist, Federal Data Engineer

- **Company:** Kpmg LLP
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Software Quality, Data Architecture, Information Engineering, Programming Tools, Apache Hadoop, Python (Programming Language), Release Management, SQL Databases, Technical Data Management Systems, Google Cloud, Test-Driven Development (TDD), Apache Spark, Git, Kubernetes, Apache Kafka, Free and Open-Source Software, Terraform, Databricks
- **Published:** June 13, 2026
- **Apply:** https://www.kpmguscareers.com/jobdetail/?jobId=134606

## About the Role

* A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred
 * Bachelor's degree from an accredited college/university
 * Experience with Python and SQL required (experience with Advana, Databricks, Spark preferred)
 * Experience with development tools and methodologies (Agile, GIT, test driven development, CI/CD release management)
 * Experience with data architecture / integration and coding / testing patterns working with existing open-source software platforms
 * Ability to travel as required to support firm engagements
 * Applicant must possess a U.S. Government Secret clearance

## Description

* Leverage a variety of modern big data tools / approaches to solve complex business objectives
 * Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs
 * Build pipelines / scalable analytics tools using leading technologies (e.g. - Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.)
 * Conduct peer code reviews to ensure code quality, provide documentation / operating guidance for users of all levels (translate between business & technical stakeholders)
 * Develop data engineering designs that positively impacts business performance


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