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Data Engineer Manager Jobs in California (NOW HIRING)

GEI Consultants

Data Engineer

Pasadena, CA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You will collaborate closely with Product Managers, Solution Architects, Data Architects, and cross-functional engineering teams to build scalable, high-quality data pipelines that power advanced ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... metadata management, data lineage and data quality and tools. Familiarity with Cloud Computing ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Experience with DoD information systems * Master ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

You will collaborate closely with Product Managers, Solution Architects, Data Architects, and cross-functional engineering teams to build scalable, high-quality data pipelines that power advanced ...

Cypress HCM

Data Engineer

Mountain View, CA

$70 - $95/hr

Data Engineer The Cloud services group is looking for world class engineers to join our technology ... Interface with other groups including Product Management, QA and Operations * Create quick proof-of ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Experience with DoD information systems * Master ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$61K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Experience with DoD information systems * Master ...

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... managers, architects, and other engineers to drive the success of the Core Data platform ● Contribute to developing and documenting both internal and external standards and best practices for ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and sof tware engineers * Experience with DoD information systems * Master ...

Prudent Technologies and Consulting

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Work with product managers, architects, and engineers to support the Core Data Platform roadmap. * Follow established standards and best practices for data pipelines, naming conventions, and platform ...

Dlapiper

Data Engineer

San Diego, CA

$121K - $146K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

Anthropic

Data Engineer

San Francisco, CA

$134K - $162K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team ... Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

Perficientcorp Inc

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Data Engineer - Key Requirements: Proven hands-on expertise in data engineering with Snowflake and ... Proficiency in platform administration, including database design, schema management, user roles ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

CYNET SYSTEMS

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Implement metadata management, lineage tracking, and data cataloging solutions. * Troubleshoot ... Data Engineering. * Data Pipeline Development. * ETL/ELT Design and Development. * Data Warehousing ...

CYNET SYSTEMS

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Implement metadata management, lineage tracking, and data cataloging solutions. Troubleshoot ... Skills: Data Engineering. Data Pipeline Development. ETL/ELT Design and Development. Data ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in California

Data Engineer Manager information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer manager in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

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

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

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

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

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

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

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager 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 $128,018 per year, or $61.5 per hour.

Data Engineer

GEI Consultants

Pasadena, CA

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

283rd of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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