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Data Engineer Jobs in Berkeley, CA (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our ...

Info Way Solutions

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 Electric. The role involves data modeling, data warehousing, and building ETL pipelines, requiring ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

What you'll do As a Data Engineer II, you'll be a foundational member of a small, high-impact team building the data backbone of our clinical AI platform. Your work will directly enable the research ...

Brex

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Robot.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data ...

Info Way Solutions

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer to join their team. The role involves strong Python development and software design, along with experience in various data technologies such as Snowflake ...

Brex

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Regard

Data Engineer

San Francisco, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Bazze

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Data Engineer, you will play a crucial role in scaling back end data operations, designing and implementing features used by research scientists and analysts globally. Responsibilities : • ...

Brex

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Humble Robotics

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Position Overview We're looking for a data engineer to help us turn raw driving data into the well-structured, queryable, and trustworthy datasets that power our autonomy stack. You'll work across ...

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and drive the design, development, and delivery of enterprise-scale data products on Google Cloud Platform ...

Humble Robotics

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Position Overview We're looking for a data engineer to help us turn raw driving data into the well-structured, queryable, and trustworthy datasets that power our autonomy stack. You'll work across ...

Mercor

Data Engineer

San Francisco, CA · On-site

$130K - $500K/yr

As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Berkeley, CA

Data Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 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.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Berkeley, CA?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 25 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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