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Deloitte Data Engineer Jobs in California (NOW HIRING)

... Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data ...

... Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data ...

... Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data ...

... Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data ...

Showing results 41-60

Deloitte Data Engineer information

See California salary details

$45.4K

$162.9K

$240.3K

How much do deloitte data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for deloitte data engineer in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What does a Deloitte Data Engineer do?

A Deloitte Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures that help clients manage large volumes of data effectively. They work with technologies such as SQL, Python, cloud platforms, and big data tools to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data scientists, analysts, and business stakeholders to deliver actionable insights and support decision-making processes. Deloitte Data Engineers also help implement best practices for data governance and optimize data workflows for performance and scalability.

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

To thrive as a Deloitte Data Engineer, you need expertise in data modeling, ETL processes, SQL, and programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), data warehousing solutions (such as Snowflake or Redshift), and relevant certifications are typically expected. Strong problem-solving, teamwork, and communication skills help you collaborate effectively with clients and multidisciplinary teams. These skills and qualities are crucial for designing scalable data solutions that drive business insights and meet client needs.

What is the difference between Deloitte Data Engineer vs Deloitte Data Analyst?

AspectDeloitte Data EngineerDeloitte Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, SparkBachelor's in Statistics, Business, or related; Excel, SQL, Tableau
Work EnvironmentData pipelines, cloud platforms, codingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, consulting firms like DeloitteBusiness units, consulting projects, client-facing roles

While both roles work with data at Deloitte, Data Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job focus within Deloitte's data teams.

What are some common projects or tasks a Deloitte Data Engineer can expect to work on?

As a Deloitte Data Engineer, you can expect to work on projects that involve designing, building, and optimizing data pipelines and architectures for clients across various industries. Your daily responsibilities may include collaborating with data scientists and business analysts to understand data needs, developing ETL processes, integrating data from multiple sources, and ensuring data quality and security. You’ll often use cloud platforms, big data tools, and programming languages like SQL and Python. The role requires strong communication skills, as you’ll frequently interact with both technical and non-technical stakeholders to deliver data-driven solutions.
What are popular job titles related to Deloitte Data Engineer jobs in California? For Deloitte Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Deloitte Data Engineer jobs in California look for? The top searched job categories for Deloitte Data Engineer jobs in California are:
Infographic showing various Deloitte Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Senior Snowflake Forward Deployed Engineer - GPS

Deloitte

Sacramento, CA • On-site

$111K - $153K/yr

Full-time

Re-posted 3 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 Snowflake 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.

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.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Snowflake, including hands-on experience with one of the following key platform technologies: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • Current SnowPro Core Certification.
  • 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.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Current SnowPro Core Advanced: Architect, Data Engineer, Data Scientist.
  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

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 Snowflake 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.

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.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Snowflake, including hands-on experience with one of the following key platform technologies: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • Current SnowPro Core Certification.
  • 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.
  • Ability to obtain and maintain a US government security clearance.

Preferred:

  • Current SnowPro Core Advanced: Architect, Data Engineer, Data Scientist.
  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
  • Experience operating within hybrid onshore/offshore teams.
  • Familiarity with security, privacy, and compliance considerations.

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

Education:Bachelor's DegreeEmployment Type:

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