Lead Data Engineer

Deloitte T.T.L.
United States
3 days ago
Apply on apply.deloitte.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$119,000.0 - $198,400.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Component-Based Software Engineering Global Positioning Systems (GPS) Regression Testing Retrieval-Augmented Generation Model Validation Data Pipelines

Job description

Our Deloitte AI & Engineering team 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

As a Lead Data Engineer on the AI & Engineering team, you will be responsible for:

  • Leading the design, development, testing, and deployment of artificial intelligence and machine learning solutions supporting health eligibility, benefits, and human services platforms
  • Managing teams that build retrieval-augmented and multimodal artificial intelligence capabilities, including document intake and verification, natural-language access to program data, and assistive tools for eligibility staff
  • Owning model evaluation and quality activities, including grounding, accuracy measurement, regression testing across prompt and model changes, and release gating based on measured results
  • Developing and managing data pipelines, model training workflows, and production-grade application components that support artificial intelligence-enabled products
  • Collaborating with engineers, data scientists, policy analysts, and program stakeholders to translate requirements into scalable technical solutions, guide technical decisions, and mentor junior practitioners

Requirements

  • 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 mentor and provide clear guidance to others, Required:
  • Bachelor’s degree
  • 10+ years of experience supporting technical, data, and artificial intelligence engineering engagements
  • Experience integrating large language models into enterprise applications
  • 5+ years of experience with Java, Python, artificial intelligence/machine learning, cloud, and DevOps technologies
  • Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience leading engineering teams supporting enterprise data and artificial intelligence initiatives
  • Experience with retrieval-augmented generation and multimodal artificial intelligence solutions
  • Experience supporting health eligibility, benefits, or human services platforms
  • Experience designing and maintaining integrations with state or federal interface partners
  • Experience translating eligibility policy requirements into executable technical logic
  • Experience with model evaluation, regression testing, and release gating

About the company

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., For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and 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. 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 $119,000 to $198,400.

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. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on apply.deloitte.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

5:08 min

Validating requests and responses using data transfer objects

Roman Alexis Anastasini · World Congress 2021

3:32 min

Building evaluation frameworks for automated regression testing

Andreas Erben Andreas Erben · World Congress 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

Videos

See all

Related articles

See all