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Deloitte Data Engineer Jobs in California (NOW HIRING)

Databricks Data Engineering Manager

Sacramento, CA · On-site

$122K - $146K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ...

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

... by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered ... We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered ... We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ...

Lead Generative AI Data Engineer III

Sacramento, CA · On-site

$109K - $144K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Develop and oversee data pipelines, model training workflows, and production-grade application ...

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Showing results 1-20

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 17, 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Databricks Data Engineering Manager

Deloitte

Sacramento, CA • On-site

$122K - $146K/yr

Full-time

Re-posted 14 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th 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 Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

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:

  • Master's or PhD degree in a relevant STEM field
  • 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
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

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 $151,500 to $252,500.

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.

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 Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

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:

  • Master's or PhD degree in a relevant STEM field
  • 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
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

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 $151,500 to $252,500.

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.

Education:Bachelor's DegreeEmployment Type:

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