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

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key ...

Software Engineer, Data

San Francisco, CA ยท On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and we're hiring a Data Engineer to own the systems that power how we understand and operate the business. You'll architect and evolve the full ...

Data Engineer

Sunnyvale, CA ยท On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to ...

Data Engineer

Pleasanton, CA ยท On-site

$36 - $70/hr

We're looking for a Lead Data Engineer to help design and deliver modern data solutions that power analytics and AI-driven decision-making across supply chain operations. This onsite opportunity in ...

Data Engineer

Emeryville, CA ยท Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Data Engineer

San Francisco, CA ยท Remote

$180K - $200K/yr

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well ...

Data Engineer

San Francisco, CA ยท On-site

$230K - $385K/yr

About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide ...

Data Engineer

San Leandro, CA ยท On-site

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance ...

Data Engineer

San Leandro, CA ยท Hybrid

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance ...

Data Engineer

San Francisco, CA ยท On-site

$145K - $190K/yr

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth and ambitious plans for the year ahead, we are expanding the team and looking for a skilled ...

Data Engineer

San Francisco, CA ยท On-site

$111K - $196K/yr

The Role As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and ...

Data Engineer

Pleasanton, CA ยท On-site

$127K - $152K/yr

Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field. 3+ years of industry experience in Data Engineering 3+ ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and develop reusable frameworks to support data-intensive projects across the firm.

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

Data Engineer

Hayward, CA ยท On-site

$120K - $150K/yr

As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision-making by designing, building, and maintaining reliable data pipelines and centralized reporting systems.

Data Engineer

San Francisco, CA ยท On-site

$180K - $200K/yr

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well ...

Data Engineer

Pleasanton, CA ยท On-site

$60 - $65/hr

We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization. In this role, you will design, build, and optimize cloud-native data platforms on Google Cloud ...

Data Engineer

Foster City, CA

$133K - $160K/yr

Technical Service Data Engineer Schedule: Monday to Friday, 8 am to 5 pm We are looking for a Technical Service Data Engineer who would translate complex engineering specifications and 3D CAD data ...

Data Engineer

San Francisco, CA ยท On-site

$79K - $87K/yr

Senior Data Engineer (Cloud Data Platforms) Role Overview We are seeking a skilled and driven Data Engineer to join our enterprise data and analytics organization. In this role, you will focus on ...

Showing results 21-40

Data Engineer information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

How much do data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer in San Ramon, CA is $144,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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 Data Engineer jobs in San Ramon, CA? For Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in San Ramon, CA look for? The top searched job categories for Data Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Engineer jobs? Cities near San Ramon, CA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.

Data Engineer

Anthropic

San Francisco, CA โ€ข On-site

$134K - $162K/yr

Other

Re-posted 29 days ago


Job description

About the Role

As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company's growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.ย 

Responsibilities:
  • Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  • Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  • Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  • Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  • Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  • Influence the future roadmap of Product and GTM teams from a data systems perspective
  • Become an expert in our organization's data models and the company's data architecture
You might be a good fit if you have:
  • 5+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  • A passion for the company's mission of building helpful, honest, and harmless AI.
  • Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  • Expertise in SQL and Python to transform data into accurate, clean data models.
  • Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  • A bias for action and urgency, not letting perfect be the enemy of the effective.
  • A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  • Experience building an Analytics Data Engineering (or similar) function at start-ups.ย 
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.