PROJECT - Data Engineer II

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

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

• Designing, developing, and maintaining batch and streaming data pipelines that support reporting, analytics, and artificial intelligence use cases
• Building and optimizing extract, transform, and load processes using SQL, Python, and data engineering frameworks
• Integrating data from structured and unstructured sources across cloud and on-premises environments
• Supporting data quality, validation, monitoring, and issue resolution activities for production data assets
• Collaborating with cross-functional teams to implement data models, improve platform performance, and support client delivery objectives

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a similar quantitative field
• 0-2 years of experience working in Agile delivery environments
• 1+ years of experience in extract, transform, and load architecture and developmentYour candidate must be able to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Experience supporting federal, state, or local government clients
• Experience with Apache Spark, Databricks, Snowflake, or Apache Airflow
• Experience with application programming interfaces and request handling
• Experience with Docker
• Experience supporting machine learning workflows
• Experience with Microsoft Azure SQL Server or Power Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $71,300 to $140,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.