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Associate Data Engineer Jobs in Pleasanton, CA (NOW HIRING)

... 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 ...

New

... 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 ...

New

... 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 ...

... 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 ...

New

... 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 ...

New

... 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 ...

New

... 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 ...

New

Associate Director, Data Scientist

Foster City, CA · On-site

$68K - $69K/yr

... data pipelines, and production AI systems. * Reviews technical designs, architecture decisions ... Promotes scientific rigor, reproducibility, engineering excellence, responsible AI practices ...

... data pipelines, and production AI systems. * Reviews technical designs, architecture decisions ... Promotes scientific rigor, reproducibility, engineering excellence, responsible AI practices ...

As an Applied AI/ML Senior Associate in our AI for Operations organization, you will help design ... Full understanding of and hands‑on programming with data structures, algorithms, operating ...

Senior Forward Deployed Engineer- AWS

San Jose, CA · On-site

$122K - $168K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Lead Forward Deployed Engineer - AWS

San Jose, CA · On-site

$120K - $158K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Showing results 41-60

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate data engineer in Pleasanton, CA is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $22.21 per hour, depending on experience, location, and employer.

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 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 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 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.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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

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

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

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

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

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

Infographic showing various Associate Data Engineer job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,374 per year, or $20.9 per hour.

Associate Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA • Hybrid

$72K - $72K/yr

Full-time

Re-posted 23 days ago


Job description

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

  • Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

  • Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

  • Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

  • Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

  • Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Ability to work independently and within a team.

  • Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

  • Familiar with regulatory requirements related to biostatistical activities and clinical trials.

  • Strong verbal and written communication skills are required.

  • Strong interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

    #LI-Hybrid  #LI-SH1