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

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job Summary We are seeking a Senior Data Engineer with strong expertise in Databricks , AWS , PySpark , and ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Senior Data Engineer - Platform Engineering Location: San Francisco, Los Angeles, or Dallas - Hybrid (Requires three days/week in our San Francisco, Los Angeles or Dallas office) Type: Full-time ...

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Senior Data Engineer Location: Berkeley, CA (Onsite - 5 Days/Week) Employment Type: Contract/Full-Time About the Role We are seeking a Senior Data Engineer to join an innovative company in the ...

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team. In this role you will work directly with stakeholders to understand their data needs, build and ...

Sr Data Engineer

San Francisco, CA · On-site

$155K - $208K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153288 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team. In this role you will work directly with stakeholders to understand their data needs, build and ...

Senior Data Engineer

San Francisco, CA · On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

Senior Data Engineer Industry: Healthcare Location: Emeryville, CA Assignment Type: Full time, direct hire Expected Salary: $140-180k Work Schedule: Hybrid, 1 day a week Benefits: This position is ...

Sr. Data Engineer

Palo Alto, CA · On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that powers our analytics, reporting, and data-driven product features. As a fintech startup on a mission to ...

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that powers our analytics, reporting, and data-driven product features. As a fintech startup on a mission to ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Senior Data Engineer, you will play a key role in building and maintaining data infrastructure that drives decision-making processes and enhances product development. Responsibilities : • ...

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

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Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Job Summary We are seeking an experienced Senior Data Engineer with strong Spark and streaming expertise to build real-time, scalable data pipelines using technologies such as Spark, Kafka, and cloud ...

New

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

New

Senior Data Engineer

San Mateo, CA · Hybrid

$120K - $164K/yr

BEAST INDUSTRIES Senior Data Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an ...

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics ...

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Senior Data Engineer information

See San Ramon, CA salary details

$90.5K

$141.2K

$195.6K

How much do senior data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data engineer in San Ramon, CA is $141,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $160,900.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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 Senior Data Engineer jobs in San Ramon, CA?

For Senior Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in San Ramon, CA look for?

The top searched job categories for Senior Data Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Senior Data Engineer jobs?

Cities near San Ramon, CA with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $141,174 per year, or $67.9 per hour.

Senior Data Engineer

Rays Techsolutions Inc.

San Jose, CA • On-site

$124K - $168K/yr

Other

Posted 15 days ago


Job description

Senior Data Engineer

Location: San Jose, California, United States
Experience: 8 10 Years

Job Summary

We are seeking a Senior Data Engineer with strong expertise in Databricks, AWS, PySpark, and Apache Airflow to build scalable data pipelines and modern data platforms that support analytics and business-critical applications.

Required Skills
  • 8 10 years of Data Engineering experience.
  • Strong hands-on experience with Databricks, AWS, PySpark, Python, SQL, and Apache Airflow.
  • Experience with Delta Lake, Lakehouse Architecture, ETL/ELT pipelines, and data modeling.
  • Knowledge of GenAI, analytics, Git, CI/CD, and cloud security best practices.
Responsibilities
  • Design and maintain scalable ETL/ELT pipelines using Databricks and PySpark.
  • Build and manage data workflows using Apache Airflow.
  • Develop and optimize data solutions on AWS (S3, Glue, Lambda, EMR, Redshift).
  • Ensure data quality, performance, security, and governance.
  • Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
  • Mentor junior engineers and contribute to engineering best practices.