Senior Data Engineer - Government & Public Services

Elite Resume Builder; Florida; On-site; USD 110,000 - 150,000; Full time

Job summary

Deloitte's Government & Public Services (GPS) practice is seeking a Senior Consultant, Data Engineering to design, build, and run data pipelines and conversion initiatives for government clients across the US Delivery Center. You will analyze data requirements, map sources to targets, and implement scalable data solutions that support mission outcomes and regulatory compliance.

Ideal candidates have 5+ years in data engineering and data integration, strong SQL and Python, experience with ETL/ELT

Qualifications

• Bachelor's degree required in a quantitative field.
• 5+ years of experience in data engineering, data integration, or data migration delivery.
• 3+ years of SQL and Python.
• 2+ years cloud platform experience (AWS, Azure, or GCP).
• Experience with ETL/ELT tools and Agile delivery methods.

Responsibilities

• Designing, building, and supporting data pipelines and integration workflows for client-facing data platforms and conversion initiatives.
• Performing data mapping, transformation, migration, and validation activities across source and target systems.
• Analyzing data requirements and translating business and technical needs into implementation-ready solutions.
• Collaborating with cross-functional teams to troubleshoot data issues, support testing, and maintain delivery timelines.
• Preparing documentation, status updates, and artifacts to support project execution and stakeholder alignment.

Skills

SQL

Python

Agile delivery

Documentation

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field

Tools

ETL/ELT tools

Job description

Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

• Designing, building, and supporting data pipelines and integration workflows for client-facing data platforms and conversion initiatives
• Performing data mapping, transformation, migration, and validation activities across source and target systems
• Analyzing data requirements and translating business and technical needs into implementation-ready solutions
• Collaborating with cross-functional teams to troubleshoot data issues, support testing, and maintain delivery timelines
• Preparing documentation, status updates, and implementation artifacts to support project execution and stakeholder alignment
  
  

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.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field

• 5+ years of experience in data engineering, data integration, or data migration delivery
• 3+ years of experience using Structured Query Language (SQL) and Python
• 2+ years of experience with cloud-based data platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 2+ years of experience performing data conversion, data mapping, transformation, and validation activities
• Ability to travel 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.
• Must be able to obtain and maintain the required clearance for this role
• 1+ years of experience supporting government or public sector data programs
• Experience with extract, transform, load (ETL) or extract, load, transform (ELT) tools
• Experience working with Agile delivery methods
• Experience creating technical documentation, data mapping specifications, and test artifacts
  
  

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.