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Data Project Engineer II

Deloitte
United Statesfull_timeVerifiedPosted 12 Jun 2026
💰 $140,600/yr($71,300/yr$140,600/yr)

About the role

Data Project Engineer II

Data and Analytics | Data Engineering
Same job available in 3 locations

Gilbert, Arizona, United States

Lake Mary, Florida, United States

Mechanicsburg, Pennsylvania, United States

Position Summary

Our AI & Engineering team helps transform technology platforms, drive innovation, and deliver meaningful impact for clients. In this role, you will work with professionals who reimagine critical operations and processes, helping organizations improve performance, accelerate digital initiatives, and support growth through innovation.

Work you'll do

As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for:

  • Support a large-scale technology services program aligned to the client’s information technology strategic mission goals
  • Build and modernize data pipelines and integrations that streamline processing and improve cost efficiency
  • Design, integrate, test, and implement data engineering solutions across on-premises, hybrid, and multi-cloud environments
  • Produce tested, documented deliverables and transition materials for turnover to the Operations and Maintenance (O&M) provider
  • Collaborate with cross-functional teams on architecture, testing, implementation support, training, and transition activities

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 practice serves federal, state, and local government clients, as well as public higher education institutions, with technology, insight, and delivery capabilities designed to support mission outcomes. Within that practice, the AI & Data offering helps clients design, build, and operate data, analytics, and AI platforms and services. This opportunity sits within the Deloitte US Delivery Center model, which provides scalable, standardized, and cost-effective delivery support with nominal travel requirements.

Qualifications

Required:

  • Bachelor’s degree or equivalent relevant experience
  • Must be able to obtain and maintain the required clearance for this role
  • 3+ years of experience engineering and implementing data and analytics components across planning, design, integration, testing, implementation, and transition activities
  • 3+ years of experience building and maintaining secure data integration solutions across on-premises, hybrid, and multi-cloud environments
  • 3+ years of experience supporting verification and validation, performance analysis, Operations and Maintenance (O&M) transition documentation, and cybersecurity-aligned testing activities
  • Ability to travel 15%, 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 government or public sector technology programs
  • Experience preparing transition materials such as configuration items, diagrams, standard operating procedures, and runbooks
  • Experience working in lab, test, or pre-production environments for enterprise technology implementations

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 an

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Company

Deloitte

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