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New Grad Data Engineer Jobs in Berkeley, CA (NOW HIRING)

OpenAI

Data Engineer

San Francisco, CA · On-site

$235K - $385K/yr

About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and ... We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and ...

Nooks

Software Engineer, New Grad

San Francisco, CA · On-site

$155K - $170K/yr

What You'll Do As a new graduate engineer, you'll work across the stack and collaborate closely ... Have strong computer science fundamentals, including algorithms, data structures, and software ...

Nooks

Software Engineer, New Grad

San Francisco, CA · On-site

$170 - $230/hr

What You'll Do As a new graduate engineer, you'll work across the stack and collaborate closely ... Have strong computer science fundamentals, including algorithms, data structures, and software ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Build new sports betting data products and predictions offerings * Integrate large and complex real ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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 ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA Requirements Key ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA Requirements Key ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Create and manage new data integrations across internal and external systems * Own business ... engineering, data science, or full-stack data role * Expert on SQL and Python (required)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Build new sports betting data products and predictions offerings * Integrate large and complex real ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Benchling

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

But moving at the new speed of science requires better technology. Benchling's mission is to unlock ... Benchling is building AI & Data Engineering (AIDE), a small, autonomous team within our Security ...

Strada

Software Engineer (New Grad)

San Francisco, CA · On-site

$110 - $140/hr

The Role We're looking for a Software Engineer to join as one of our earliest engineering hires ... Strong fundamentals in data structures, algorithms, and system design * Experience building ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $200K/yr

... new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50 ... We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ...

Punch Agency

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Company Description Punch is a full service digital agency based out of New York, Silicon Valley ... data engineer to design & implement highly reliable & scalable Audience Management Big Data ...

Info Way Solutions

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

... new insights to enhance our data infrastructure. • Exhibit strong communication skills to ... data engineering methodologies • Exhibiting strong communication skills Preferred : • ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

We pioneered a groundbreaking new class of grid management called active grid response (AGR ... Gridware.io. Role Overview As a Data Engineer at Gridware, you'll help build and maintain the ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

We pioneered a groundbreaking new class of grid management called active grid response (AGR ... Gridware.io. Role Overview As a Data Engineer at Gridware, you'll help build and maintain the ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

We pioneered a groundbreaking new class of grid management called active grid response (AGR ... Gridware.io. Role Overview As a Data Engineer at Gridware, you'll help build and maintain the ...

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Showing results 21-40

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Berkeley, CA

New Grad Data Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do new grad data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for new grad 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 a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

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

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

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

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

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

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

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

Data Engineer

OpenAI

San Francisco, CA • On-site

$235K - $385K/yr

Full-time

Re-posted 21 days ago

Key responsibilities

  • Design, build and manage data pipelines to integrate user event data into the data warehouse.

  • Develop canonical datasets to track key product metrics such as user growth, engagement, and revenue.

  • Collaborate with various teams to understand data needs and provide solutions.

Job description

About the team
The Applied team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses.
We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
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 business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
In this role, you will:
  • 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.

You might thrive in this role if you:
  • Have 3+ years of experience as a data engineer and 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.

This role is exclusively based in our San Francisco HQ. Some of our roles are also located in our Mountain View or New York offices. We offer relocation assistance to new employees.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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