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# Specialist, Federal Data Engineer

- **Company:** Kpmg LLP
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Cloud Engineering, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, R (Programming Language), Python (Programming Language), Standard Sql, SAS (Software), Scala (Programming Language), SQL Databases, Data Processing, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.kpmguscareers.com/jobdetail/?jobId=139347

## About the Role

* A minimum of three years of data engineering / analytics experience
 * Bachelor's degree from an accredited college / university
 * Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda
 * Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks
 * Proficiency in programming languages such as Python, Scala, SQL
 * Ability to travel as required to support firm engagements
 * Initial project will be located in the St. Louis, MO region, requires daily on-site presence
 * Applicant must possess a U.S. Government Secret clearance

## Description

* Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data
 * Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale
 * Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy)
 * Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
 * Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS)
 * Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation)
 * Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions
 * Develop documentation / guides for analytics usage and maintenance