Lead Federal Data Engineer – Cloud Modernization & DevOps

KPMG LLP; McLean (VA); On-site; USD 110,000 - 140,000; Full time

Job summary

KPMG LLP seeks a Lead Specialist to join its Federal Advisory practice, focusing on big data, cloud migration, and platform modernization. The role requires leading cross-functional teams and delivering technical guidance to clients on data platforms and integration strategies.

The ideal candidate brings 5+ years in data engineering, Python/SQL expertise, and a U.S. Government Secret clearance, with experience in Agile and CI/CD practices. Travel to engagements may be needed.

Qualifications

• Bachelor's degree required.
• 5+ years of technical data engineering experience.
• Experience with Python and SQL required; Databricks/Spark preferred.
• Familiarity with Agile, GIT, CI/CD, test-driven development.

Responsibilities

• Leverage big data tools to solve complex objectives.
• Develop/update platform requirements; assess client data platforms and gaps.
• Design tools/services for cloud DevOps environments (monitoring, CI/CD, scripts).
• Lead cross-functional teams and workshops with clients to identify opportunities.
• Contribute to innovations and present thought leadership.

Skills

Python

SQL

Cloud DevOps

Agile

Leadership

Travel availability

Security clearance

Data engineering

Education

Bachelor's degree

Tools

Databricks

Spark

Advana

Job description

KPMG LLP seeks a Lead Specialist to join its Federal Advisory practice, focusing on big data, cloud migration, and platform modernization. The role requires leading cross-functional teams and delivering technical guidance to clients on data platforms and integration strategies.

The ideal candidate brings 5+ years in data engineering, Python/SQL expertise, and a U.S. Government Secret clearance, with experience in Agile and CI/CD practices. Travel to engagements may be needed.