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Data Engineer 1 Jobs in California (NOW HIRING)

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 ...

Data Engineer

San Francisco, CA · On-site

$120 - $180/hr

Proficient in at least one modern programming language (Java, Scala, or Python). * Strong foundation in computer science principles including object-oriented design, data structures, algorithms, and ...

Data Engineer

San Francisco, CA · On-site

$145K - $200K/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 ...

Data Engineer

San Francisco, CA · On-site

$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)

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... The estimate displayed represents the typical salary range for this position and is just one ...

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 ...

Data Engineer

Los Angeles, CA · On-site

$120 - $160/hr

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 ...

Principle Data Engineer

Alhambra, CA · On-site

$121K - $145K/yr

... Data Engineer to lead data engineering efforts. The role involves developing data pipelines ... (1) year of experience in developing data models • One (1) year of experience in Azure Data ...

Data Engineer

El Segundo, CA · On-site

$62 - $141/hr

R0246480 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... The estimate displayed represents the typical salary range for this position and is just one ...

New

Data Engineer

San Francisco, CA · On-site

$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)

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 ...

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 ...

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 ...

Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer for a long-term contract with Pacific Gas and ... one or more programming languages (eg - Python, Scala, Java etc) and querying languages (SQL ...

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

This is infrastructure the rest of the company builds on, not a one-off project. * Build the data foundation for AIDE's AI initiatives: Partner with AIDE's AI engineering side to make governed ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... You get to experience the 0-1 of building a startup, working with talented engineers from ...

Software Data Engineer

Cupertino, CA · On-site

$150 - $190/hr

Strong proficiency in at least one programming language such as Python, Java, Go, or Scala * Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time ...

Data Engineer

San Francisco, CA · On-site

$150 - $230/hr

Role Overview As a Data Engineer at Serval, you'll be our first dedicated data hire, which means you'll own the entire data stack from day one and build the data function that serves the whole ...

Showing results 21-40

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 Sep 6, 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.

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

Sigma Computing

San Francisco, CA • On-site

$140K - $180K/yr

Full-time

Re-posted 14 days ago


Job description

Data Engineer, Data Platform About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects.

If you're a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma's mission, let's chat!

What You Will Be Doing
  • Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
  • Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
  • Scale our terraform deployment across all of our Snowflake assets
  • Continue to advance our data governance policies
  • Work cross functionally to accomplish all of the above! You'll work across Product, Engineering, GTM-with users of all skills and levels
Qualifications We Need
  • Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
  • Experience deploying data governance frameworks with a scalable and repeatable process
  • Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
  • 3+ years of relevant experience working in a data engineering role
  • Startup experience
Qualifications We Want (also, skills you'll learn!)
  • A drive to continuously learn (and share those learnings) about the evolving data ecosystem
  • Familiarity with dbt
  • Advanced knowledge python knowledge
  • Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
  • Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details

The base salary range for this position is $140k - $180k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.