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

Senior Data Engineer

San Francisco, CA · 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 ...

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 ...

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... Data engineering activities * Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management Perks and Benefits of joining our team... Our Associates ...

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... Data engineering activities * Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management Perks and Benefits of joining our team... Our Associates ...

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... Data engineering activities * Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management Perks and Benefits of joining our team... Our Associates ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Engineer I

Dublin, CA

$99K - $130K/yr

... Data engineering activities * Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management Perks and Benefits of joining our team... Our Associates ...

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Associate Data Engineer information

See San Ramon, CA salary details

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$34

How much do associate data engineer jobs pay per hour?

As of Jun 20, 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

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 salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

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 AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

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 June 2026, with employment types broken down into 41% Full Time, and 59% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,554 per year, or $20.9 per hour.

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: AWS Data Engineer
Location: Foster City, CA/Raleigh, NC || Onsite
Job Type: Contract
Job Description:
Qualifications:
  • This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience
  • 10+ years of work experience with ETL, Data Modeling, and Data Architecture
  • Expert-level skills in writing and optimizing SQL
  • Expertise in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies
  • Experience with Big Data technologies such as Hadoop/Hive/Spark
  • Experience operating very large data warehouses or data lakes
  • Experience of delivering CI/CD and DevOps capabilities in a data environment
  • Experience with building data pipelines and applications to stream and process datasets
  • Experience in Python
  • Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data
  • Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures
  • Can clearly articulate Enterprise Standards & Operational Governance mechanisms that can be built-in for each layer of AWS Cloud data and analytics (Ingestion, Transformation, Consumption, Governance, Business touchpoints)
  • Technical knowledge on EC2, IAM, S3, VPC, Lambda, Glue
  • AWS Certified Solution Architect - Professional OR AWS Certified Solution Architect - Associate
  • Good knowledge and experience in Lifesciences (Commercial, Managed Markets domains)
  • Excellent communication skills