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Graduate Data Engineer Jobs in California (NOW HIRING)

Head of Data Engineering

San Francisco, CA ยท On-site +1

$134K - $162K/yr

You will lead a world-class data engineering practice, shape up technical strategy and data ... A graduate degree in Computer Science or a similar subject area It's great but not required if you ...

Graduate Engineer - AI Agents

San Francisco, CA ยท On-site

  • Medical

  • Retirement

  • PTO

Supporting high standards of data security, reliability, and performance How We Use AI In ... Recent graduate or early-career engineer (0-2 years experience) * Evidence of building things ...

Conduct literature reviews, basic information, and data collection on the latest research ... programming, capacity for providing autonomous oversight of areas of responsibility (i.e ...

New

Maintain, update, and coordinate internship listings and employer relations data entry/maintenance ... The Graduate Assistant will concentrate on Advising/Programming with the opportunity to explore ...

Graduate Assistant

Claremont, CA ยท On-site

$22/hr

Maintain, update, and coordinate internship listings and employer relations data entry/maintenance ... The Graduate Assistant will concentrate on Advising/Programming with the opportunity to explore ...

Lead AI and Data Science Engineer II

Fresno, CA ยท On-site

$101K - $134K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Lead AI and Data Science Engineer II

San Diego, CA ยท On-site

$108K - $143K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Lead AI and Data Science Engineer II

Sacramento, CA ยท On-site

$109K - $144K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Head of Data Engineering

San Francisco, CA ยท On-site

$238.50 - $311.38/hr

You will lead a world-class data engineering practice, shape up technical strategy and data ... graduate degree in Computer Science or a similar subject area It's great but not required if you ...

Showing results 21-40

Graduate Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do graduate data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for graduate data engineer 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 are the key skills and qualifications needed to thrive as a graduate data engineer?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What does a graduate data engineer do?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a graduate data engineer?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are the most commonly searched types of Graduate Data Engineer jobs in California?

The most popular types of Graduate Data Engineer jobs in California are:

What cities in California are hiring for Graduate Data Engineer jobs?

Cities in California with the most Graduate Data Engineer job openings:

Infographic showing various Graduate Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Head of Data Engineering

Atlassian

San Francisco, CA โ€ข On-site, Remote

$134K - $162K/yr

Full-time

Posted 13 days ago


Job description

Working at Atlassian

Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.


Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.

Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power GTM(Marketing and Sales )strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.

As the data domain specialist, you will partner with IT, data platform, product engineering, GTM Stakeholders ,analytics teams and data scientists to support multiple programs.


At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.


In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:


Zone A: $238,500 - $311,375


Zone B: $214,650 - $280,238


Zone C: $197,955 - $258,441


  • 15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products

  • 10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies

  • 10+ Years of experience delivering data and analytics solutions for product teams

  • Product sense with an understanding of product drivers and of how to guide value using data across the organization

  • Demonstrated experience developing influential relationships and trust with senior leaders across different departments

  • Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams.

  • Prior Experience in Martech (tools and tech) and Sales tech.

  • Have led as Subject matter expert across Marketing, Sales and Tech domains, partnering and effectively translating stakeholders needs into data products that enables data driven decision making.

  • Experience building Microservices and RESTful APIs

  • Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage

  • Experience with BI tools like Tableau, Amplitude, and Redash

  • A graduate degree in Computer Science or a similar subject area

It's great but not required if you have:

  • Experience working for SAAS companies

  • Experience with Machine Learning

  • Committed code to open source projects

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.