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Data Engineer Jobs in Berkeley, CA (NOW HIRING)

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will lead the development of data pipelines and core tables, collaborating with various teams to ensure data integration and compliance while supporting product growth and safety ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/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 ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and we're hiring a Data Engineer to own the systems that power how we understand and operate the business. You'll architect and evolve the full ...

PBK

Data Engineer

Berkeley, CA · On-site

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

Anthropic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key ...

PBK

Data Engineer

Berkeley, CA

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$230K - $385K/yr

About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide ...

Air Apps

Data Engineer

San Francisco, CA · On-site

$111K - $196K/yr

The Role As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth and ambitious plans for the year ahead, we are expanding the team and looking for a skilled ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

Apex Informatics

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field. 3+ years of industry experience in Data Engineering 3+ ...

Veev

Data Engineer

Hayward, CA

$120K - $150K/yr

As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision-making by designing, building, and maintaining reliable data pipelines and centralized reporting systems.

Veev

Data Engineer

Hayward, CA · On-site

$120K - $150K/yr

As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision-making by designing, building, and maintaining reliable data pipelines and centralized reporting systems.

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

Technical Service Data Engineer Schedule: Monday to Friday, 8 am to 5 pm We are looking for a Technical Service Data Engineer who would translate complex engineering specifications and 3D CAD data ...

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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 Jul 20, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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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
Data Engineer

Data Engineer

OpenAI

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Data Engineer will lead the development of data pipelines and core tables, collaborating with various teams to ensure data integration and compliance while supporting product growth and safety systems.
Responsibilities:
• Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
• Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
• Implement robust and fault-tolerant systems for data ingestion and processing.
• Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
• Ensure the security, integrity, and compliance of data according to industry and company standards.
Qualifications:
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 used within Data Engineering, such as Python, Scala, or Java
• Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3)
• Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
• Solid understanding of Spark and ability to write, debug and optimize Spark code
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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