Data Engineer II: AI & Data Platform Innovator

Deloitte France; Fort Worth (TX); On-site; USD 71,000 - 141,000; Full time

Job summary

Deloitte's AI & Data team in the United States is seeking a PROJECT - Data Engineer II to design, build, and maintain data pipelines that support reporting, analytics, and AI use cases. You will work with cross‑functional teams to implement data models and optimize platform performance, both in cloud and on‑prem environments.

The role requires a Bachelor's in a quantitative field and 1+ years in ETL, Python, SQL, and relational databases, with travel up to 10%.

Qualifications

• Bachelor's degree in a quantitative field (CS/IS/Engineering/Math/Stats).
• 0-2 years of experience in Agile delivery environments.
• 1+ years of ETL architecture and development experience.
• 1+ years of Python and SQL for data pipelines.
• 1+ years of experience with relational databases.
• Willingness to travel 0-10%.

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.
• Ingest data from structured and unstructured sources across cloud and on‑prem environments.
• Support data quality, validation, monitoring, and issue resolution for production data.
• Collaborate with cross‑functional teams to implement data models and improve platform performance.
• Lead projects or workstreams and manage multiple tasks in a fast-paced environment.

Skills

Python

SQL

ETL

Data pipelines

Agile delivery

Communication

Team collaboration

Project leadership

Time management

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics

Tools

Apache Spark

Databricks

Snowflake

Apache Airflow

Docker

Azure SQL Server

Power Platform

Job description

Deloitte's AI & Data team in the United States is seeking a PROJECT - Data Engineer II to design, build, and maintain data pipelines that support reporting, analytics, and AI use cases. You will work with cross‑functional teams to implement data models and optimize platform performance, both in cloud and on‑prem environments.

The role requires a Bachelor's in a quantitative field and 1+ years in ETL, Python, SQL, and relational databases, with travel up to 10%.