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Deloitte Software Developer Jobs in Chicago, IL (NOW HIRING)

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... software, engaging confidently with senior stakeholders and engineers to bring measurable business ...

Oracle Technical Cloud Senior Consultant

Chicago, IL · On-site

$65.50 - $82.50/hr

Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Senior Data Engineer

Arlington Heights, IL · Hybrid

$106K - $144K/yr

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ... Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ...

Bachelor's degree or higher in computer science, information technology, software engineering ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Bachelor's degree or higher in computer science, information technology, software engineering ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... software, engaging confidently with senior stakeholders and engineers to bring measurable business ...

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... software, engaging confidently with senior stakeholders and engineers to bring measurable business ...

Showing results 41-60

Deloitte Software Developer information

See Chicago, IL salary details

$49.5K

$115.3K

$171.1K

How much do deloitte software developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for deloitte software developer in Chicago, IL is $115,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $134,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deloitte software developer, and why are they important?

To thrive as a Deloitte Software Developer, you need strong programming skills in languages like Java, Python, or .NET, a bachelor's degree in computer science or a related field, and a solid understanding of software development methodologies. Familiarity with tools such as Git, JIRA, cloud platforms (AWS, Azure), and industry certifications like AWS Certified Developer or Scrum Master are typically valued. Excellent problem-solving abilities, teamwork, and effective communication help you collaborate with diverse clients and project teams. These competencies ensure you can deliver innovative, high-quality software solutions that meet client needs in a dynamic consulting environment.

What is the difference between Deloitte Software Developer vs Deloitte Software Engineer?

AspectDeloitte Software DeveloperDeloitte Software Engineer
Required CredentialsBachelor's in CS or related field; coding certificationsBachelor's in CS or related field; coding certifications
Work EnvironmentCollaborative teams, client projects, consulting settingDevelopment teams, project-based, often in consulting or corporate IT
Employer & Industry UsageUsed across Deloitte's consulting and technology divisionsCommonly used in Deloitte's tech and consulting projects
Search & Comparison IntentOften compared for similar roles in software development at DeloitteSimilar roles, often confused with developers in job searches

The Deloitte Software Developer and Deloitte Software Engineer roles share similar educational backgrounds and work environments, often overlapping in responsibilities within Deloitte's consulting and technology sectors. While titles may vary, both roles focus on software creation, testing, and deployment, making them comparable in many aspects.

What does a Deloitte software developer do?

A Deloitte Software Developer is responsible for designing, developing, and maintaining software solutions for clients across a variety of industries. They work as part of a collaborative team to analyze client requirements, write code, test applications, and implement technology solutions that improve business processes. Additionally, they may participate in system architecture design, troubleshoot technical issues, and stay updated on the latest industry trends to provide innovative solutions. Deloitte Software Developers often work on both client-facing and internal projects, using a range of programming languages and technologies.

What types of projects do Deloitte software developers typically work on, and how does this impact their daily responsibilities?

Deloitte Software Developers often work on a wide range of projects, including enterprise application development, cloud solutions, and technology integrations for clients in diverse industries. This means your daily responsibilities can vary from designing and coding new features to collaborating with cross-functional teams such as business analysts, QA engineers, and project managers. The dynamic project environment encourages continuous learning and adaptability, as you may be required to quickly get up to speed with new technologies or industry standards. Developers also regularly participate in client meetings to gather requirements and provide technical insights, making communication skills especially valuable.
Infographic showing various Deloitte Software Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,308 per year, or $55.4 per hour.

Senior Google Forward Deployed Engineer - GPS

Deloitte

Chicago, IL

$107K - $147K/yr

Full-time

Re-posted 4 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


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 Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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 mentor and 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 with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, 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:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

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 $155,600 to $306,800.

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.


ai&e fy27 profile

Qualifications:

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 Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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 mentor and 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 with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, 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:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

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 $155,600 to $306,800.

You may also be eligible to ...


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