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Data Engineer 1 Jobs in California (NOW HIRING)

NextDeavor Inc.

Data Engineer 1

San Jose, CA

$55.21 - $69.01/hr

Data Engineer 1 Full-time San Jose, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits for ...

VARITE INC

Data Engineer 1

San Jose, CA · On-site

$134K - $161K/yr

VARITE INC is seeking a Data Engineer to support Adobe's Growth Monetization initiatives. The role involves designing, building, and maintaining scalable data pipelines, writing complex SQL queries ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire Long Term Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Required : • 3+ years of experience as a data engineer • 8+ years of any software engineering experience (including data engineering) • Proficiency in at least one programming language commonly ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Lawrence Berkeley National Laboratory is hiring a Scientific Data Engineer within the Scientific ... Demonstrated experience in one or more of the following areas: data management, scientific data ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... The estimate displayed represents the typical salary range for this position and is just one ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0246048 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... The estimate displayed represents the typical salary range for this position and is just one ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Base pay is one part of the Total Package that is provided to compensate and recognize employees ...

Novoco

Data Engineer

Long Beach, CA · On-site

$120K - $144K/yr

The Data Engineer is responsible for building, operating, and optimizing the organization ... The firm has one available position in either Austin, TX, Bellevue, WA, Long Beach, CA, Portland ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

With one of the largest proprietary radiology report datasets in the world, our AI has helped ... We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ...

Golden State

Data Engineer

San Francisco, CA

$144K - $153K/yr

Strong proficiency in SQL and at least one programming language (e.g., Python) * Experience building and maintaining complex ELT/ETL data pipelines, using orchestration tools (e.g., Airflow)

OpenAI

Data Engineer

San Francisco, CA · On-site

$235K - $385K/yr

Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java. * Experience with distributed processing technologies and frameworks, such as ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Base pay is one part of the Total Package that is provided to compensate and recognize employees ...

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 ... Recognizes what needs to be done and accomplishes it in a manner appropriate for one's level ...

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Showing results 1-20

All JobsData Engineer 1 JobsData Engineer 1 Jobs in California

Data Engineer 1 information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer 1 jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer 1 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 a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Data Engineer 1 jobs near you
Infographic showing various Data Engineer 1 job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer 1

NextDeavor Inc.

San Jose, CA

$55.21 - $69.01/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Job description

Data Engineer 1
Full-time
San Jose, CA, US

You’ll be joining Adobe on a contract opportunity, employed through NextDeavor

 
Benefits You'll Love

NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

Become a Key Player as a Data Engineer 1

You will design and maintain scalable data pipelines that enable growth and monetization initiatives for the client. You will partner with Data Science, Product, Marketing, and Engineering stakeholders to deliver actionable insights and reliable data infrastructure. This is an onsite role in San Jose, CA, supporting a time-limited engagement from June to November.

Here's How You'll Make an Impact on the Team
  • Design, build, optimize, and maintain scalable data pipelines to support growth and monetization efforts
  • Write and optimize complex SQL queries to analyze A/B experiment results and other large datasets
  • Develop and enhance ETL/ELT workflows for large-scale structured and unstructured data
  • Optimize pipeline performance, reliability, scalability, and data quality across distributed systems
  • Implement automated monitoring, alerting, and validation frameworks for pipeline health and data integrity
  • Collaborate with Data Science, Product, Marketing, and Engineering teams to deliver scalable data solutions
Here's What You'll Need to Be Successful in This Role
  • Minimum 5 years of relevant experience
  • Strong SQL expertise with the ability to write and optimize complex queries on large datasets
  • Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks
  • Experience building and optimizing scalable data pipelines in cloud or enterprise environments
  • Proficiency in ETL orchestration and workflow management tools
  • Experience with data quality, pipeline monitoring, and performance tuning
  • Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment
Pay Range

$55.21 - $69.01/hour

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