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Manager Data Engineering Jobs in California (NOW HIRING)

DoorDash

Engineering Manager, Data

San Francisco, CA · On-site

To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for ...

ALO

Manager of Data Engineering

Beverly Hills, CA

$200K - $230K/yr

We are seeking an experienced Manager of Data Engineering to lead a team responsible for building and maintaining the data pipelines, models, data products, and platform capabilities that support ...

ALO

Manager of Data Engineering

Beverly Hills, CA · On-site

$200K - $230K/yr

We are seeking an experienced Manager of Data Engineering to lead a team responsible for building and maintaining the data pipelines, models, data products, and platform capabilities that support ...

3M HEALTHCARE

Software Engineering Manager

Millbrae, CA · On-site

$183K - $199K/yr

Software Engineering Manager, Data Engineering Millbrae, CA Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering ...

3M HEALTHCARE

Software Engineering Manager

Millbrae, CA · On-site

$183K - $199K/yr

Software Engineering Manager, Data Engineering Millbrae, CA Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering ...

Essc

Director, Data Engineering

Irvine, CA

Leads the Data Engineering function within the Enterprise Data & Analytics department by designing ... Manages assigned budgets, vendor resources, and program-related expenses to support the effective ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in California

Manager Data Engineering information

See California salary details

$30.6K

$95.9K

$169.7K

How much do manager data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager data engineering in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in California?

The most popular types of Data Engineering jobs in California are:

What are popular job titles related to Manager Data Engineering jobs in California?

For Manager Data Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in California look for?

The top searched job categories for Manager Data Engineering jobs in California are:

What cities in California are hiring for Manager Data Engineering jobs?

Cities in California with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.

Sr. Product Manager, Data Engineering

Databricks

San Francisco, CA • On-site

$115K - $204K/yr

Full-time

Re-posted 9 days ago

Job description

P-8
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.
The impact you will have
  • Lead product management for one of the fastest growing products and businesses at Databricks
  • Make company wide impact by driving Data Engineering across the Databricks product portfolio
  • Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
  • Define, shape, and drive the future of data processing, data applications, and data pipelines
  • Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

What We Look For
  • 5+ years of product management and related experience with enterprise or SaaS products.
  • Educational or professional background in computer science or related engineering fields.
  • Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
  • Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
  • Analytical skills to make data-driven decisions (e.g. analyze product usage)
  • Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
  • A background in Data Engineering is a plus but not required.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$115,400-$204,200 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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