Senior Specialist, Federal Data Engineer

KPMG LLP; St. Louis (MO); On-site; USD 100,000 - 140,000; Full time

Job summary

KPMG LLP is seeking a Senior Specialist to join its Federal Advisory practice in St. Louis. The role focuses on building data pipelines, analytics, and ML workflows across diverse projects, with a strong emphasis on delivering scalable, production-ready solutions.

You will work with Python, SQL, and Spark-based tools, leveraging Databricks and AWS services to support client engagements. A U.S. Government Secret clearance is required to begin work.

Qualifications

• Three years of data engineering/analytics experience.
• Bachelor's degree from an accredited college/university.
• End-to-end data pipelines, warehousing, and analytics with Databricks and AWS (S3, Redshift, Glue, Lambda).
• Hands-on data engineering, cloud architecture, or related work focusing on AWS and Databricks.
• Proficiency in Python, Scala, SQL.

Responsibilities

• Develop code to prepare, extract, and enrich data from structured and unstructured sources.
• Create production-grade data pipelines and ML pipelines deployable at scale.
• Translate analytics problems into technical approaches with actionable recommendations.
• Support teams in developing client analytics solutions using analytics, wrangling, and ETL.
• Provide oversight and quality control over analytics solution development.
• Prepare data for analysis (cleansing, integration, transformation).
• Lead client discussions on analytics value, methodologies, and outputs.
• Develop documentation and guides for analytics usage and maintenance.

Skills

Data engineering

Analytics

Python

Scala

SQL

SAS

Databricks

AWS

Cloud architecture

Education

Bachelor's degree

Tools

Databricks

AWS (S3, Redshift, Glue, Lambda)

SAS

Job description

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.

Responsibilities:

• 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

Qualifications:

• 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