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Graduate Data Engineer Jobs in California (NOW HIRING)

Intuit

Staff Data Scientist

Mountain View, CA · On-site

You'll partner closely with data engineers, software engineers, product managers and architects to ... graduate academic and industry experience applying quantitative and scientific methods to solve ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

You'll partner closely with data engineers, software engineers, product managers and architects to ... graduate academic and industry experience applying quantitative and scientific methods to solve ...

Intuit

Staff Data Scientist

Mountain View, CA

You'll partner closely with data engineers, software engineers, product managers and architects to ... graduate academic and industry experience applying quantitative and scientific methods to solve ...

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5.5K - $7.8K/mo

Our engineers build applications that aggregate and fuse data across varied sources and leverage AI ... Currently enrolled in an undergraduate or graduate program in Computer Science, Computer ...

Advantest

Data Analytics Intern

San Jose, CA · On-site

Recent graduate or final-year student pursuing a bachelor's degree in environmental science, Sustainability, Environmental Engineering, Industrial Engineering, Data Analytics, Business Analytics ...

Advantest

Data Analytics Intern

San Jose, CA

Recent graduate or final-year student pursuing a bachelor's degree in environmental science, Sustainability, Environmental Engineering, Industrial Engineering, Data Analytics, Business Analytics ...

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Showing results 1-20

All JobsGraduate Data Engineer JobsGraduate Data Engineer Jobs in California

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 Jul 4, 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 in the Graduate Data Engineer position, and why are they important?

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 are the typical daily tasks and responsibilities of a Graduate Data Engineer?

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 job?

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 are popular job titles related to Graduate Data Engineer jobs in California? For Graduate Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Graduate Data Engineer jobs in California look for? The top searched job categories for 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:
Graduate Data Engineer jobs near you
Staff Data Scientist

Staff Data Scientist

Intuit

Mountain View, CA • On-site

Full-time

Posted 5 days ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

79th of 202 rated software companies

Job description

Overview

Overview

Intuit is currently seeking a passionate and data-driven individual to join the Intuit Business Operations Analytics and Data Science team. As a Staff Data Scientist, you will play a crucial role in transforming our organization through the power of data and AI. The successful candidate will be responsible for building a scalable AI ready data foundation and AI capabilities that provide deeper insights across company level data sets and dashboards to the executive leaders. You’ll partner closely with data engineers, software engineers, product managers and architects to mature data and AI capabilities for Intuit Business Operations.

In this position, you will develop a deep understanding of business challenges, performing company-level analyses, developing executive dashboards and building AI capabilities for faster insights generation and proactive business anomaly notifications to enable effective decision-making and problem-solving. This role presents a unique combination of business operations, data analytics, AI and data science, requiring someone who is a fast learner, highly analytical, strategic, and excellent communicator. This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.

 We are looking for a strategic problem-solver with a track record of using data and AI to deliver successful business outcomes. The ideal candidate can independently manage their own data, identify and measure business and growth drivers, establish data governance and quality processes and contribute towards building scalable data foundation, build compelling visualizations and AI assisted insights generation to a broader audience.



Responsibilities

Responsibilities


  • Build data and AI capabilities in partnership with Engineering teams to analyze data from multiple sources to identify trends, provide insights, enable driver analysis and support decision-making.
  • Understand business requirements, perform data discovery and build analytics solutions (data pipelines, datasets and dashboards) aligned with business needs.
  • Develop and track key metrics and KPIs to monitor business performance and contribute to a data-driven culture.
  • Create and implement data-driven strategies and operational processes to optimize business growth and efficiency.
  • Proactively identify and address business challenges using data analysis and strategic problem-solving.
  • Independently manage workload and pursue opportunities for improvement.

Qualifications

Qualifications

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or equivalent work experience.
  • 6+ years of combined post-graduate academic and industry experience applying quantitative and scientific methods to solve real-world business problems.
  • Proven ability to analyze large, complex datasets.
  • Proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), and scripting languages (Python, R).
  • Basic front end development skills (JavaScript, React) are good to have.
  • Strong data storytelling skills, with the ability to construct impactful visualizations, communicate insights, and influence leadership.
  • A proactive and results-oriented individual who thrives in a fast-paced environment and is comfortable with ambiguity.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



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