Data Engineer II: AI & Data Pipelines for Impact

Deloitte France; Memphis (TN); On-site; USD 84,000 - 141,000; Full time

Job summary

Deloitte GPS AI & Data team is seeking a PROJECT - Data Engineer II to design, build, test, and maintain batch and streaming data pipelines powering analytics, reporting, and AI use cases. You’ll work with cross-functional teams to translate business needs into scalable data solutions on cloud platforms.

You’ll collaborate with analysts, architects, developers, and client stakeholders, ensuring data quality, robust operations, and documentation while supporting deployment and ongoing

Qualifications

• Bachelor's degree or technical field as listed in the requirements.
• 1+ years of Power Apps development and 1+ years of SQL and Python usage.
• Experience with data visualization and data mining.
• Eligible to obtain and maintain a Secret security clearance.
• Ability to travel 0-10% based on client needs and work.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Design, build, test, and maintain batch and streaming data pipelines for analytics, reporting, and AI use cases.
• Develop and optimize data ingestion, transformation, and storage on cloud platforms.
• Implement data models, data quality controls, and monitoring for accuracy and reliability.
• Collaborate with analysts, architects, developers, and client stakeholders to translate requirements into data solutions.
• Support deployment, documentation, defect resolution, and ongoing enhancement of data products and platform components.

Skills

Power Apps

SQL

Python

Data Visualization

Data Mining

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a technical field

Job description

Deloitte GPS AI & Data team is seeking a PROJECT - Data Engineer II to design, build, test, and maintain batch and streaming data pipelines powering analytics, reporting, and AI use cases. You’ll work with cross-functional teams to translate business needs into scalable data solutions on cloud platforms.

You’ll collaborate with analysts, architects, developers, and client stakeholders, ensuring data quality, robust operations, and documentation while supporting deployment and ongoing