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Manager Data Engineering Jobs in California (NOW HIRING)

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

Purple Drive Technologies

Data Engineering

Sunnyvale, CA · On-site

$134K - $161K/yr

Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other ... Implement containerized solutions with Docker & Kubernetes and manage deployment on cloud ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights. * Establish data architecture ...

Walmart

(USA) Senior Manager, Data Engineering

Fremont, CA · On-site

$143K - $286K/yr

As the Senior Engineering Manager for Agentic Data, you will be at the forefront of the AI revolution. Your mission is to evolve our massive data ecosystem into a Semantic & Contextual Layer--the ...

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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 Jun 10, 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 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 key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.
Data Engineering Manager

Data Engineering Manager

Spokeo

Pasadena, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

About Spokeo:

Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo’s 60 billion public records to improve customer research, help verify information, and prevent fraud.

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.

About this Opportunity

Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.

What you’ll do:

  • Lead and manage data engineers to build data solutions for our business intelligence needs

  • Lead a cross-functional team in building a state-of-the-art data analytics platform

  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs

  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies

  • Define and manage SLA’s for all data sets and reporting processes

  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks

  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you’ve done:

  • 7+ years of experience in Business Intelligence and Data Warehousing

  • 5+ years of experience with cloud solutions (AWS, Azure)

  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)

  • 5+ years of experience with data pipelines orchestration tools like Airflow.

  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.

  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.

  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.

  • Expertise in RDBMS, SQL, query optimization, and security

  • A Bachelor’s degree in Computer Science, Information Management, or a related field

  • Attention to detail, excellent problem-solving ability, and strong communication skills


Working at Spokeo

Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.


As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.

In addition to a highly competitive base salary, our generous benefits include:

  • annual bonus program

  • stock options

  • 401K matching

  • 100% medical/dental/vision coverage

  • unlimited PTO

  • mental health resources

  • paid home office equipment

  • fitness reimbursements

  • support paying for courses

  • and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

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