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Data Engineer Manager Jobs in Brea, CA (NOW HIRING)

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $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 ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $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 ...

Tata Consultancy Service Limited

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands ... Management stability, monitoring, and operational readiness We expect contributors who can own ...

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 ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$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 ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in ...

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in ...

Pediatric Associates

Sr Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer works closely with data analysts, data scientists, product managers, and business stakeholders to understand requirements, contribute to technical solution design, and implement ...

Brighton

Data Engineer

City Of Industry, CA

$115K - $138K/yr

We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end ... Help establish and improve engineering standards around CI/CD, environment management, testing ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Work closely with frontend engineers, backend engineers, product managers, analysts, and business teams to support long-term data platform strategy. * Monitor performance of data pipelines ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Work closely with frontend engineers, backend engineers, product managers, analysts, and business teams to support long-term data platform strategy. * Monitor performance of data pipelines ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Brea, CA

Data Engineer Manager information

See Brea, CA salary details

$46.1K

$134.4K

$183.9K

How much do data engineer manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer manager in Brea, CA is $134,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 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 Brea, CA?

The most popular types of Data Engineer jobs in Brea, CA are:

What are popular job titles related to Data Engineer Manager jobs in Brea, CA?

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

What job categories do people searching Data Engineer Manager jobs in Brea, CA look for?

The top searched job categories for Data Engineer Manager jobs in Brea, CA are:

What cities near Brea, CA are hiring for Data Engineer Manager jobs?

Cities near Brea, CA with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Brea, CA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $134,368 per year, or $64.6 per hour.

Data Engineer

Pediatric Associates

San Pedro, CA • On-site

$116K - $140K/yr

Full-time

Re-posted 22 days ago

Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

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