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Associate Data Engineer Jobs in Mountain View, CA

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 involves executing programming tasks, developing solutions for complex systems, and leading projects ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely ...

Pwc

Data Engineer - Senior Manager

San Francisco, CA

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Russell, Tobin & Associates

Data Engineer III

Menlo Park, CA · On-site

$80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer III Location: Hybrid is okay in Bay Area, Seattle, OR New York Duration: extended after this year Pay: $80/hr. Summary: The main function of the Data Engineer is to develop, evaluate ...

Qcells

Lead Data Engineer

Santa Clara, CA

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Qcells

Lead Data Engineer

Santa Clara, CA · On-site

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Qcells

Lead Data Engineer

San Francisco, CA · On-site

$160K - $220K/yr

Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent). * Experience enabling analytics teams, data science workflows, or ML pipelines. * Experience implementing ...

Walmart

(USA) Staff, Data Engineer

Mountain View, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Fremont, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Cupertino, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Sunnyvale, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Hayward, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

San Jose, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

Milpitas, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Staff, Data Engineer

San Mateo, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Mountain View, CA

Associate Data Engineer information

See Mountain View, CA salary details

$11

$22

$36

How much do associate data engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate data engineer in Mountain View, CA is $22.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $23.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

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 Mountain View, CA?

The most popular types of Data Engineer jobs in Mountain View, CA are:

What are popular job titles related to Associate Data Engineer jobs in Mountain View, CA?

For Associate Data Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Mountain View, CA look for?

The top searched job categories for Associate Data Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Associate Data Engineer jobs?

Cities near Mountain View, CA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Associate Data Engineer

Stanford University

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Re-posted 9 days ago

Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

208th of 618 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 University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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