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

Nvidia

Manager, Data and AI Engineering

Santa Clara, CA

$134K - $161K/yr

Active AWS Certifications (e.g., Certified Data Engineer - Associate or Solutions Architect - Professional). * Background in managing multi-functional teams that blend data engineers with front-end ...

World Market

Lead Data Engineer

Alameda, CA · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience & Skills You'll Bring * 10+ years of data engineering experience maintaining data ... CA Pay Range is $155,000 - $175,000 annually #LI-LO1 #LI-Remote Full time and Part time associates ...

World Market

Lead Data Engineer

Alameda, CA · Remote

$175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience & Skills You'll Bring * 10+ years of data engineering experience maintaining data ... CA Pay Range is $155,000 - $175,000 annually #LI-LO1 #LI-Remote Full time and Part time associates ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience & SkillsYou'llBring * 10+ years of data engineering experience maintaining data platform ... CA Pay Range is $155,000 - $175,000 annually #LI-LO1 #LI-Remote Full time and Part time associates ...

Walmart

Senior, Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/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 ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Azure Data Engineer Associate (DP-203) * Azure Fundamentals (AZ-900) Good to Have * Experience with real-time analytics. * Knowledge of Lakehouse architecture. * Experience with Agile/Scrum ...

Gilead

Associate Director, Data Scientist

Foster City, CA

$68K - $69K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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

Gilead

Associate Director, Data Scientist

Foster City, CA

$68K - $69K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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

Accenture

Google Data Specialist

Mountain View, CA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

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Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Pleasanton, CA

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 19, 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:

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

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

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

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:

Associate Data Engineer jobs near you
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.

Manager, Data and AI Engineering

Nvidia Corporation

Santa Clara, CA • On-site

$134K - $161K/yr

Full-time

Posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next-generation autonomous data intelligence platform for Supply Chain Operations - from identifying high-impact opportunities to architecting, building, and productionize solutions that deliver measurable business value. The ideal candidate brings hands-on experience in architecture and engineering while demonstrating the ability to manage a high-performing team. This person will partner with business collaborators, translate operational challenges into data and AI solutions, and deliver at pace.
What you'll be doing:
  • Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.
  • Deliver robust ETL/ELT, streaming, and CDC pipelines using technologies such as Spark, Kafka, Delta Lake, and AWS-native services.
  • Enable delivery of AI-powered use cases including RAG applications, AI agents, tool-calling workflows, and data-driven web apps.
  • Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case - optimizing for analytical query performance, data governance, and extensibility.
  • Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.
  • Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns
  • Partner with product, business, analytics, and AI collaborators to translate requirements into secure, scalable, and production-ready solutions.
  • Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives, and mentor engineers, grow technical capability across the team, and develop a culture of accountability, innovation, and continuous improvement.
  • Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness, and handle the full lifecycle of data engineering projects - from discovery and planning through execution and production rollout.

What we need to see:
  • Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience
  • 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 3+ years specifically in a leadership or engineering management role.
  • Willingness to Code: You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.
  • AWS Proficiency: Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
  • Agentic AI & LLM Mastery: Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows.
  • Databricks Mastery: Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.

Ways to stand out from the crowd:
  • Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
  • Active AWS Certifications (e.g., Certified Data Engineer - Associate or Solutions Architect - Professional).
  • Background in managing multi-functional teams that blend data engineers with front-end and back-end software developers.
  • Knowledge of supply chain business processes for Plan, Make, Deliver & Services

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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