Data Engineer II - Build AI-Ready Data Pipelines

Deloitte France; Minneapolis (MN); On-site; USD 71,000 - 141,000; Full time

Job summary

Deloitte France's AI & Data team develops data platforms and AI solutions to transform client operations and outcomes. You will join a team delivering scalable data pipelines and insights for government and public sector clients.

The role emphasizes building batch/streaming pipelines, ETL using SQL and Python, and integrating diverse data sources while collaborating with stakeholders across functions. Some travel may be required.

Qualifications

• Bachelor’s degree in a quantitative field such as CS/IS/Engineering/Math/Statistics.
• 0-2 years of experience in Agile delivery environments.
• 1+ years in ETL architecture and development; travel 0-10% as required.
• Must be eligible to work in the United States without sponsorship.

Responsibilities

• Design, develop, and maintain batch and streaming data pipelines.
• Build and optimize ETL processes using SQL, Python, and data engineering frameworks.
• Integrate data from structured and unstructured sources across cloud and on-premises.
• Support data quality, validation, monitoring, and issue resolution for production data assets.
• Collaborate with cross-functional teams to implement data models and improve platform performance.

Skills

Team collaboration

Communication

Detail oriented

Project leadership

Time management

Deadline-driven

Interpersonal skills

Independent work

Education

Bachelor’s degree in CS/IS/Engineering/Math/Stats

0-2 years Agile delivery experience

Tools

Docker

Apache Spark

Databricks

Snowflake

Apache Airflow

Azure SQL Server/Power Platform

Job description

Deloitte France's AI & Data team develops data platforms and AI solutions to transform client operations and outcomes. You will join a team delivering scalable data pipelines and insights for government and public sector clients.

The role emphasizes building batch/streaming pipelines, ETL using SQL and Python, and integrating diverse data sources while collaborating with stakeholders across functions. Some travel may be required.