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Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Jose, CA · On-site

$167K - $245K/yr

Your Impact As a Data Engineer, you will play a key role in designing and delivering scalable, high-quality data solutions that transform complex business data into trusted, accessible, and ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Encinitas, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Escondido, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Data Engineer

El Cajon, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Jamul, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA

$121K - $146K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0246048 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Del Mar, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever ...

Showing results 21-40

Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer 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 is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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 job categories do people searching Data Engineer jobs in California look for? The top searched job categories for Data Engineer jobs in California are:
What cities in California are hiring for Data Engineer jobs? Cities in California with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in CA? For Data Engineer jobs in CA, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

$61K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a Data Engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team of analysts, data engineers, develop ers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, develop ment, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience within data engineering, ETL operations, pipeline develop ment, or data integration
  • Experience with Databricks
  • Experience writing sof tware in programming languages, including Python, SQL, R, Javascript, or C++
  • Experience with source control and collaboration sof tware, including GitHub or Atlassian tools
  • Knowledge of relational and non-relational database technologies, including SQL or GraphQL
  • Knowledge of automation and scripting on Linux or Windows operating systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience deploying analytics workloads on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
  • Experience develop ing and presenting complex technical information for technical and non-technical audiences and senior leaders
  • Experience develop ing and deploying large-scale batch and stream analytics pipelines
  • Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and sof tware engineers
  • Experience with DoD information systems
  • Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Sof tware Engineering, Electrical Engineering, Physics, or a related field
  • Cloud Develop ment Certification , including AWS Solutions Architect or Azure Certification
  • Information Security Certification , including Security+ or CISSP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914