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Associate Data Engineer Jobs in California (NOW HIRING)

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Stanford University is a prestigious institution seeking an Associate Data Engineer. The role involves executing programming tasks, developing solutions for complex systems, and leading projects ...

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Associate Data Scientist (Niantic, Inc.; Sunnyvale, CA): Analyze and interpret complex datasets to ... Collaborate with the game engineering team to ensure data quality, integrity, and availability for ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Be Seen First

Quality Associate - Data Entry We are seeking a highly detail-oriented Quality Associate - Data ... Collaborate with Engineering and Supply Chain teams to ensure drawings, BOMs, and raw material ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning ... Working knowledge of Python or similar programming language for data analysis, reporting ...

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Associate Data Engineer information

See California salary details

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How much do associate data engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for associate data engineer in California is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $19.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
What are popular job titles related to Associate Data Engineer jobs in California? For Associate Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in California look for? The top searched job categories for Associate Data Engineer jobs in California are:
What cities in California are hiring for Associate Data Engineer jobs? Cities in California with the most Associate Data Engineer job openings:
Associate Data Engineer

Associate Data Engineer

Stanford University

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Posted 6 days ago


Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

200th of 552 rated colleges and universities


Job description

Job Summary:
Stanford University is a prestigious institution seeking an Associate Data Engineer. The role involves executing programming tasks, developing solutions for complex systems, and leading projects while mentoring junior developers.
Responsibilities:
• Conceptualize design, implement and develop solutions for complex system/programs independently.
• Design and develop applications that may involve sophisticated data manipulation. Implementation and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and data-intensive solutions that are scalable, optimized, and fault-tolerant.
• Document system builds and application configurations; maintain and update documentation as needed.
• Provide technical analysis, design, development, conversion and implementation work.
• Work as a project leader, as needed, for projects of moderate complexity.
• Serve as a technical resource for all Data Engineering applications.
• Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
• Follow team software development methodology.
• Mentor lower-level software developers.
• Design and implement Data Migration and Data Integration across cloud and hybrid environments.
• Mastery and hands-on experience with Data Engineering technologies and scripting languages
• Ability to translate complex functional and technical requirements into detailed architecture, design and high-performing software.
• Design, build and optimize pipelines for data collection for storage, access and analytics.
Qualifications:
Required:
• Bachelor's degree and five years of relevant experience, or a combination of education, training and relevant experience.
• Expertise in designing, developing, testing, and deploying applications.
• Ability to define and solve logical problems for highly technical applications.
• Hands-on experience and training in Advanced SQL, Advanced Python programming, AWS Services (such as S3, Redshift, Glue ETL, IAM, DMS, Appflow, VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
• Experience in writing reusable complex Python/PySpark scripts for ELT, Business Logic OR APIs.
• Hands-on development work on all aspects of data analysis, data provisioning, modeling, performance tuning and optimization.
• Experience in working on AWS cloud environment, using the marketplace for the right tool, efficient utilization of them to meet business requirements.
• Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processing using various technology stack.
• Experienced in Data Modeling, Data Migration and Data Integration.
• Know the pain points in Data integration across SaaS applications and implement the best solution that fits the organization.
• Strong communication skills with both technical and non-technical clients.
Preferred:
• Other Coding experience such as Scala and R Programming is a plus.
Company:
Stanford is a place of discovery, creativity and innovation located in the San Francisco Bay Area on the ancestral land of the Muwekma Ohlone Tribe. Founded in 2008, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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