Data Engineer II - AI & Data Pipelines

Deloitte France; Philadelphia (Philadelphia County); On-site; USD 71,000 - 141,000; Full time

Job summary

Deloitte is hiring a Data Engineer II within the AI & Data team to design, build, and operate data pipelines for analytics, reporting, and AI use cases. You will collaborate with cross‑functional teams to implement data models and improve platform performance.

The role requires 1+ years in ETL, Python/SQL, and relational databases, with travel up to 10% and US work authorization. A pension of professional growth in a government-focused setting is offered.

Qualifications

• Bachelor's degree in a quantitative field (CS/IS/Engineering/Math/Stats) or similar.
• 0-2 years of experience in Agile delivery environments.
• 1+ years of experience in ETL architecture and development.
• 1+ years of Python and SQL experience to build or support data pipelines.
• 1+ years of experience with relational database management systems.
• Ability to travel 0-10%, based on work and client needs.
• Must be legally authorized to work in the United States without sponsorship.

Responsibilities

• Design, develop, and maintain batch and streaming data pipelines for reporting and AI use cases.
• Build and optimize ETL processes using Python and SQL.
• Integrate data from structured and unstructured sources across cloud and on‑prem environments.
• 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

Independent work

Team collaboration

Communication

Attention to detail

Leadership

Multi-tasking

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Apache Spark

Databricks

Snowflake

Apache Airflow

Docker

Azure SQL Server

Power Platform

Job description

Deloitte is hiring a Data Engineer II within the AI & Data team to design, build, and operate data pipelines for analytics, reporting, and AI use cases. You will collaborate with cross‑functional teams to implement data models and improve platform performance.

The role requires 1+ years in ETL, Python/SQL, and relational databases, with travel up to 10% and US work authorization. A pension of professional growth in a government-focused setting is offered.