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# Specialist, Federal Data Engineer

- **Company:** Kpmg LLP
- **Location:** McLean, VA, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Business Analytics Applications, Software Quality, Data Validation, Data Cleansing, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Programming Tools, Python (Programming Language), Performance Tuning, Release Management, DataOps, SQL Databases, Technical Data Management Systems, Data Processing, Test-Driven Development (TDD), Data Ingestion, Git, Pyspark, Performance Monitor, Programming Languages
- **Published:** October 31, 2026
- **Apply:** https://diversityjobs.com/career/18800169/Specialist-Federal-Data-Engineer-Virginia-Mclean

## About the Role

* A minimum of one year of technical data engineering experience; U.S. Federal government consulting experience preferred
 * Bachelor's degree from an accredited college/university
 * Experience with programming languages (Python, PySpark, SQL)
 * Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques
 * Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation
 * Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management)
 * Proven ability to rapidly ingest, transform, engineer, and visualize data
 * Ability to travel as required to support firm engagements
 * Applicant must possess or be eligible for a U.S. Government clearance

## Description

* Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics
 * Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies
 * Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users
 * Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation
 * Develop data engineering designs and translate efforts between business / technical stakeholders
 * Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation