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Data Engineer III

Deloitte

Pittsburgh, PAJob$105–208K/yrSeen 2w agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$105–208K/yr
Location
Pittsburgh, PA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Secret clearanceBachelor's degree

Job overview

Deloitte’s AI & Engineering team works on technology platforms, innovation, and reengineering business operations. The Data Engineer III designs and maintains data pipelines, builds data models and storage solutions, integrates data sources, and supports cloud data platforms. The role serves government and public-sector clients and requires a bachelor’s degree, substantial data engineering experience, an active Secret clearance, and U.S. work authorization without employer sponsorship.

Skills & qualifications

RequiredNice to have

Skills

Independent WorkTeam CollaborationWritten CommunicationVerbal CommunicationAttention to DetailRelationship BuildingProject LeadershipTask PrioritizationInterpersonal SkillsGuidanceData Pipeline DevelopmentETLIncident ManagementData ManagementData IngestionTechnical Team LeadershipStakeholder Relationship ManagementDigital TransformationProcess OptimizationTechnical Analysis

Qualifications

Bachelor's in Computer Science, Engineering, Information Systems, Data Science, or Related Technical Field5+ Years Data Pipeline and ETL Experience4+ Years Incident Management Experience4+ Years Data Management Experience4+ Years Data Ingestion Experience4+ Years Technical Team Leadership Experience4+ Years Stakeholder Relationship Management ExperienceActive Secret Security ClearanceU.S. Work Authorization Without Sponsorship

Full 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

As a Data Engineer III on the AI & Data team, you will be responsible for...

  • Designing, developing, testing, and maintaining batch and near-real-time data pipelines using modern data engineering tools and frameworks

  • Building and optimizing data models, schemas, and storage solutions to support analytics, reporting, and artificial intelligence use cases

  • Integrating data from multiple structured and unstructured sources while ensuring data quality, lineage, and consistency across platforms

  • Supporting cloud-based data platform implementation activities, including deployment, monitoring, performance tuning, incident management, and issue resolution

  • Collaborating with cross-functional teams and stakeholders to translate business and technical requirements into scalable data engineering solutions and support delivery across project workstreams

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.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field and 5+ years of experience developing, testing, and deploying data pipelines and extract, transform, and load (ETL) processes

  • 4+ years of experience in incident management

  • 4+ years of experience in data management

  • 4+ years of experience in data ingestion

  • 4+ years of experience leading technical teams or workstreams

  • 4+ years of experience managing stakeholder relationships

  • Active Secret security clearance with full adjudication

  • Ability 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:

  • 4+ years of experience in digital transformation

  • 4+ years of experience in process optimization

  • 4+ years of experience in technical analysis

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 $105,400 to $207,800.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

How this job compares

Set against the 5,771 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$105–208K/yr
  • Pennsylvania median$111–212K/yr115 salary ranges
  • US median$125–208K/yr4,400 salary ranges

This range's midpoint, $157K, is 4% below the Pennsylvania median midpoint ($163K) — in the middle half of Data Engineer salary ranges in Pennsylvania.

Openings
Olive Jobs lists 165 open Data Engineer jobs in Pennsylvania and 5,771 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,003 postings).
Education
This posting asks for a bachelor's degree; 2,686 of the 5,771 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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