1

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

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 ...

Associate Data Scientist

San Francisco, CA ยท 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 ...

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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Lead Data Engineer

San Francisco, CA ยท 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 ...

Lead Data Engineer

San Francisco, CA ยท 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 ...

Senior Data Engineer

San Francisco, CA ยท On-site

$230K - $280K/yr

As a senior data engineer at Gallup, you'll design and build the production data systems that ... associates' wellbeing. We also offer an estimated annual salary range of $230,000-$280,000 for this ...

next page

Showing results 1-20

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 Aug 5, 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?

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 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:
Infographic showing various Associate Data Engineer job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $43,554 per year, or $20.9 per hour.

Data Engineer

Kanak Elite Services Inc

Bay Point, CA โ€ข On-site

$125K - $151K/yr

Contractor

Re-posted 14 days ago


Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email with your updated resume.  

Position : Databricks Data Engineer
Location: [Bay Area, CA]

Duration : 12+ Months
Need experience with Databricks

Job Summary:
We are seeking a skilled Data Engineer with hands-on Databricks experience to design, build, and optimize large-scale data pipelines and analytics solutions. You will work with cross-functional teams to enable scalable data processing using the Databricks Lakehouse Platform on Azure.

Key Responsibilities:
• Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark
• Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable, and well-modeled data
• Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows
• Optimize Spark jobs for performance, reliability, and cost-efficiency
• Maintain and monitor data pipelines, ensuring availability and data quality
• Implement CI/CD practices for Databricks notebooks and infrastructure-as-code (e.g., Terraform, Databricks CLI)
• Document data pipelines, datasets, and operational processes
• Ensure compliance with data governance, privacy, and security policies
Qualifications:
• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering or a similar role
• Strong hands-on experience with Databricks and Apache Spark (Python, Scala, or SQL)
• Proficiency with Delta Lake, Unity Catalog, and data lake architectures
• Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS, BigQuery)
• Familiarity with CI/CD pipelines, version control (Git), and job orchestration tools (Airflow, DB Workflows)
• Strong understanding of data warehousing concepts, performance tuning, and big data processing
Preferred Skills:
• Experience with MLflow, Feature Store, or other machine learning tools in Databricks
• Knowledge of data governance tools like Unity Catalog or Purview
• Experience integrating BI tools (Power BI, Tableau) with Databricks
• Databricks certification(s) (Data Engineer Associate/Professional, Machine Learning, etc.)

Feel free to reach out yashmita@kanakits.com