Federal Data Engineer Lead – Cloud Pipelines & Analytics

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 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.