ZipRecruiter

Log In

1

Associate Data Engineer Jobs in San Ramon, CA (NOW HIRING)

Stanford University

Associate Data Engineer

Redwood City, CA · On-site

$138.40K - $163.99K/yr

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 ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA · On-site

$77K - $202K/yr

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 ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69.40K - $69.90K/yr

You are passionate about maintaining the high scientific and engineering standards required to ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

Quantifind

Associate Data Scientist

Palo Alto, CA

$69.40K - $69.90K/yr

You are passionate about maintaining the high scientific and engineering standards required to ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

Pwc

Data Engineer - Senior Manager

San Francisco, CA · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Adobe

Sr. Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe

Sr. Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe

Sr. Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe

Sr. Data Engineer

San Jose, CA

$134.20K - $161.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

next page

Showing results 1-20

People also search for

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in San Ramon, CA

Associate Data Engineer information

See San Ramon, CA salary details

$11

$20

$34

How much do associate data engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for associate data engineer in San Ramon, CA is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.31 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 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 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 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 are the most commonly searched types of Data Engineer jobs in San Ramon, CA? The most popular types of Data Engineer jobs in San Ramon, CA are:
What are popular job titles related to Associate Data Engineer jobs in San Ramon, CA? For Associate Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in San Ramon, CA look for? The top searched job categories for Associate Data Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Associate Data Engineer jobs? Cities near San Ramon, CA with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Associate Data Engineer

Associate Data Engineer

Stanford University

Redwood City, CA • On-site

$138.40K - $163.99K/yr

Full-time

Medical, Retirement

Posted 22 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

189th of 529 rated colleges and universities

Job description

Execute all programming tasks, including programming, analyzing, designing, developing, implementing, modifying, and maintaining computer programs. Work on systems of small to moderate size and complexity or segments of larger systems.
Core Duties:
  • 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.

Minimum Requirements:
Education and Experience:
Bachelor's degree and five years of relevant experience, or a combination of education, training and relevant experience.
Knowledge, Skills and Expertise:
  • 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. Other Coding experience such as Scala and R Programming is a plus.
  • 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.

PHYSICAL REQUIREMENTS*:
  • Constantly perform desk-based computer tasks.
  • Frequently sit, grasp lightly/fine manipulation.
  • Occasionally stand/walk, use a telephone.
  • Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds.

* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
WORKING CONDITIONS:
  • May work extended hours, evenings and weekends.

WORK STANDARDS:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $138,402 to $163,985 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
Why Stanford is for You:
Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
  • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
  • A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
  • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our work-class exercise facilities. We also provide excellent health care benefits.
  • Discovery and fun. Stroll through historic sculptures, trails, and museums.
  • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
  • Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2,700 staff, including University IT, whose jobs are important to supporting the University's mission. The campus will offer amenities such as onsite cafes and a dining pavilion, a high-end fitness facility with an outdoor pool, and a childcare center for Stanford families.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

What Stanford University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply