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New Grad Data Engineer Jobs in California (NOW HIRING)

GridCARE

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

About Us GridCARE solves data center developers' most urgent bottleneck - immediate access to power ... Identify, find, and integrate new datasets from various sources, both internal and external.

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Continuously evaluate and adopt new Microsoft Fabric capabilities to improve scalability ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Continuously evaluate and adopt new Microsoft Fabric capabilities to improve scalability ...

Bumble Bee Seafoods

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Continuously evaluate and adopt new Microsoft Fabric capabilities to improve scalability ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Numeric

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: * Data Engineer ... Ability to learn and adapt to new tools and technologies. * Should possess analytical and ...

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 ... We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and ...

Numeric

Data Engineer.

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. Key ... Ability to learn and adapt to new tools and technologies. * Analytical and mathematical mind ...

Edmunds.com

Data Engineer

Santa Monica, CA · On-site +1

$125K - $159K/yr

As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds ... Desire to learn new technologies. Nice to Haves: * Exposure to AI/ML workflows or an interest in ...

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All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in California

New Grad Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

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

As of Jun 12, 2026, the average yearly pay for new grad 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 New Grad Data Engineer position, and why are they important?

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.

What does the typical day look like for a New Grad Data Engineer?

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 is a New Grad Data Engineer job?

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 are popular job titles related to New Grad Data Engineer jobs in California? For New Grad Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in California look for? The top searched job categories for New Grad Data Engineer jobs in California are:
What cities in California are hiring for New Grad Data Engineer jobs? Cities in California with the most New Grad Data Engineer job openings:
New Grad Data Engineer jobs near you

Data Engineer

GridCARE

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

Job description

About Us
GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from today's grid. Partnering with utilities, GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects.
As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact.
Job Description
We are looking for a Data Engineer with hands-on experience in data ingestion into cloud environments, finding and retrieving new datasets, and performing analysis on various data types, including time-series and non-relational data. In this role, you'll streamline data processes, ensure data quality and accessibility, and collaborate with UI/UX and AI leads to leverage data for innovative solutions.
This is a unique opportunity to combine deep data engineering and scientific expertise with cutting-edge AI solutions applied to solve the most impactful speed to power in the energy industry.
Responsibilities
  • Design and implement data ingestion pipelines into cloud environments, ensuring efficient and scalable data pipelines.
  • Identify, find, and integrate new datasets from various sources, both internal and external.
  • Analyze time-series and non-relational data, extracting valuable insights.
  • Build robust, reusable code to automate data workflows, ensuring reproducibility and scalability.
  • Collaborate with software engineers and domain experts to streamline data processes and improve accuracy.
  • Evaluate data storage and processing resources, including cloud-native solutions.
  • Stay engaged with the latest data engineering and science news, standards, and emerging AI-driven solutions in data management.

Qualifications
Required
  • Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
  • Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
  • Strong coding skills in Python, SQL, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction and version control (git).
  • Ability to write well-documented, tested, and maintainable code.
  • Conduct code reviews and contribute to continuous integration and deployment workflows.
  • Strong understanding of data modeling, ETL processes, and data governance.
  • Knowledge of time-series analysis techniques and non-relational database concepts.
  • Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment.

Preferred
  • 2+ years of experience in data engineering, data science, or related areas.
  • Experience integrating and tuning 3rd party AI agents.
  • Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development.
  • Experience working with energy data, including Virtual Power Plants (VPPs), batteries, and control systems.
  • Experience with Kubernetes, Terraform, Helm charts and deploying data applications in the cloud.
  • Familiar with DevOps pipelines, tools, and requirements.

What We Offer
  • Competitive salary and equity.
  • Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
  • Hybrid work environment with catered lunches and snacks.
  • The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers.
  • A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the age of AI.

Apply