Data Engineer II: Build Scalable AI Data Pipelines

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

Job summary

Deloitte is seeking a Project Data Engineer II to join the AI & Data team in the United States. You will design, build, and optimize batch and streaming data pipelines supporting reporting, analytics, and AI use cases.

The role requires 1+ years in ETL, Python, SQL, and relational databases, with Agile delivery experience and travel up to 10%. Strong communication and collaboration skills are essential for success on cross-functional client projects.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 0-2 years of Agile delivery experience.
• 1+ years of ETL development experience.
• 1+ years of Python and SQL for data pipelines.

Responsibilities

• Design, develop, and maintain batch and streaming data pipelines for reporting, analytics, and AI use cases.
• Build and optimize ETL processes using SQL, Python, and data engineering frameworks.
• 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.
• Demonstrate independent work and team collaboration while meeting deadlines.
• Provide clear guidance and maintain professional relationships on projects.

Skills

Agile delivery experience

ETL development

Python

SQL

Relational databases

Travel flexibility

US work authorization

Team collaboration

Communication skills

Project leadership potential

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a similar quantitative field

Tools

Docker

Apache Spark

Databricks

Snowflake

Airflow

Azure SQL Server

Job description

Deloitte is seeking a Project Data Engineer II to join the AI & Data team in the United States. You will design, build, and optimize batch and streaming data pipelines supporting reporting, analytics, and AI use cases.

The role requires 1+ years in ETL, Python, SQL, and relational databases, with Agile delivery experience and travel up to 10%. Strong communication and collaboration skills are essential for success on cross-functional client projects.