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Graduate Data Engineer Jobs in California (NOW HIRING)

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Role: AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data ... Graduate/Post-Graduate degree in Computer Science or a related field.

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... programming against large relational databases leveraging interoperable-linked, patient-level data ... Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, Statistics or related ...

Stanford University

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Stanford University is a prestigious institution seeking an Associate Data Engineer. The role ... Company : Stanford University is a teaching and research university that focuses on graduate ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$125K/yr

Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred) * 2+ years of professional experience in data ...

Quantifind

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

US Citizen * 4+ years of professional experience, including graduate or Ph.D. work if relevant ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

Quantifind

AI Data Engineer

Palo Alto, CA

$200K/yr

US Citizen * 4+ years of professional experience, including graduate or Ph.D. work if relevant ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

Quantifind

AI Data Engineer

Palo Alto, CA

$134K - $161K/yr

US Citizen * 4+ years of professional experience, including graduate or Ph.D. work if relevant ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site

$109K - $148K/yr

Graduate degree in Computer Science or a similar field, or equivalent work experience * 3+ years working in Data Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Graduate degree in Computer Science or a similar field, or equivalent work experience * 3+ years working in Data Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL ...

Paramount

Senior Data Engineer

Los Angeles, CA

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... STEM undergraduate degree with 4+ years of work experience or STEM graduate degree with 2+ years of ...

Paramount

Senior Data Engineer

Los Angeles, CA · On-site

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... STEM undergraduate degree with 4+ years of work experience or STEM graduate degree with 2+ years of ...

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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 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 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
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.

AWS Data Engineer

Marencor

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Re-posted 18 days ago

Job description

Role: AWS Data Engineer (Python, Dataiku) 

Location: SFO, CA – Hybrid

Job Brief

 As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.

Responsibilities

  • Lead and support the delivery of data platform modernization projects.
  • Design and develop robust and scalable data pipelines leveraging AWS native services.
  • Optimize ETL processes, ensuring efficient data transformation.
  • Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
  • Design automations and integrations to resolve data inconsistencies and quality issues 
  • Perform system testing and validation to ensure successful integration and functionality.
  • Implement security and compliance controls in the cloud environment.
  • Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
  • Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.

 

Skills and Requirements

  • 7+ years of experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
  • Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
  • Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
  • Experience with streaming and batch data pipeline/engineering architectures.
  • Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
  • Hands-on experience with Databricks and a willingness to grow capabilities.
  • Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
  • Strong problem-solving and analytical skills.
  • Knowledge of Dataiku is needed
  • Graduate/Post-Graduate degree in Computer Science or a related field.