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Data Associate Jobs in Milpitas, CA (NOW HIRING)

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 ...

CalTek Staffing , Inc.

Data Collector

Santa Clara, CA · On-site

$23 - $27/hr

Our ideal candidate has an associate degree in information technology, but experience with data collection is more significant. Data Collector Duties and Responsibilities * Collect data from internal ...

Omni Mechanical Solutions

Be Seen First

Administrative / Data Entry Associate

Livermore, CA · On-site

$25/hr

Associate's or Bachelor's degree preferred * Minimum of 1 year of experience in data entry, administrative, or clerical roles * Construction or service industry experience is a plus * Proven ability ...

Gilead

Associate Director, Data Scientist

Foster City, CA · On-site

$68K - $69K/yr

Helps troubleshoot complex issues across data quality, model behavior, latency, reliability, security, scalability, cost, compliance, and user experience. * Responsible AI, Governance & Production ...

Gilead

Associate Director, Data Scientist

Foster City, CA

$68K - $69K/yr

Helps troubleshoot complex issues across data quality, model behavior, latency, reliability, security, scalability, cost, compliance, and user experience. * Responsible AI, Governance & Production ...

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All JobsData Associate JobsData Associate Jobs in Milpitas, CA

Data Associate information

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$16

$38

$65

How much do data associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data associate in Milpitas, CA is $38.54, according to ZipRecruiter salary data. Most workers in this role earn between $28.56 and $45.67 per hour, depending on experience, location, and employer.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Milpitas, CA?

The most popular types of Data jobs in Milpitas, CA are:

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For Data Associate jobs in Milpitas, CA, the most frequently searched job titles are:

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The top searched job categories for Data Associate jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Data Associate jobs?

Cities near Milpitas, CA with the most Data Associate job openings:

Data Associate jobs near you
Infographic showing various Data Associate job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,172 per year, or $38.5 per hour.

Associate Data Engineer

Stanford University

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Re-posted 16 days ago

Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

209th of 620 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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