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

Hirekeyz Inc

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 ...

Donato Technologies, Inc

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 ...

Kaav Inc

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 ...

Phizenix

Sr. Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are seeking a Senior Data Engineer to support data analytics and platform initiatives. This role is ideal for a hands-on consultant who can build scalable data pipelines and enable analytics ...

Phizenix

Sr. Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are seeking a Senior Data Engineer to support data analytics and platform initiatives. This role is ideal for a hands-on consultant who can build scalable data pipelines and enable analytics ...

The Walt Disney Company

Sr Data Engineer

San Francisco, CA

$134K - $162K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147781 Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN ...

Strategic Employment

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 ...

Strategic Employment

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 ...

Windfall

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 ...

Daybreak AI, Inc.

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work ...

Daybreak AI, Inc

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work ...

Daybreak AI, Inc.

Senior Data Engineer

San Francisco, CA · Remote

$108K - $147K/yr

As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work ...

Daybreak AI, Inc

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work ...

Finix

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Senior Data Engineer, you will own the tooling, frameworks, data pipelines, and databases to ensure data integrity and support operational decision-making through analytics and reporting.

Cybercoders

Senior Data Engineer

San Francisco, CA

$160K - $230K/yr

Senior Data Engineer Senior Data Engineer Compensation: $160K-$230K base + equity Location: San Francisco (in the city) or El Segundo, CA (3 days onsite) We're building a real-time healthcare AI ...

Together AI

Senior Data Engineer

San Francisco, CA · On-site

$160K - $240K/yr

As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together's usage-based billing system, real-time customer-facing ...

Together AI

Senior Data Engineer

San Francisco, CA · On-site

$160K - $240K/yr

As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together's usage-based billing system, real-time customer-facing ...

Two95 International Inc.

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Position: 2 Month (Contract) Summary Provide business insights, while leveraging internal tools and systems, databases and industry data Roles ...

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All JobsSenior Data Engineer JobsSenior Data Engineer Jobs in San Ramon, CA

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 Jun 26, 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

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 engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

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.

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:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in San Ramon, CA as of June 2026, with employment types broken down into 61% Full Time, 37% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,174 per year, or $67.9 per hour.

Senior Data Engineer

Hirekeyz Inc

Sunnyvale, CA • On-site

$124K - $169K/yr

Contractor

Posted 29 days ago

Job description

Job Description: Senior Data Engineer

Location: Sunnyvale, CA
 
Job Type: Contract/W2
 
 
Job Description:
 

Key Skills: Tableau, Python, Snowflake.

Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

  • Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
  • Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
  • Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
  • Build and optimize data models and architecture to support analytics and reporting needs.
  • Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
  • Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

  • 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
  • Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
  • Extensive experience working with offshore and cross-functional teams.
  • Excellent communication, problem-solving, and teamwork skills.
  • Experience with machine learning concepts and applications.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
  • Knowledge of CI/CD pipelines for data and ML workflows.