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

Methodic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for their platform. This role involves ensuring efficient and accurate data storage, enabling analytics ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$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 ...

Compunnel

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

Job Summary We are seeking a Data Engineer III to support the development and modernization of a cloud-based enterprise data platform. This role is responsible for designing, developing, and ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$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 ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Kanak Elite Services Inc

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

TITLE - DATA ENGINEER LOCATION - SAN JOSE,CA (HYBRID) As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures that support ...

Golden State

Data Engineer

San Francisco, CA · Remote

$165K/yr

About the Position The Golden State Warriors are looking for a Data Engineer to join our growing team. In this role, you will have large influence over our data pipelines and warehouse while ...

Forhyre

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Golden State

Data Engineer

San Francisco, CA · Remote

$165K/yr

About the Position The Golden State Warriors are looking for a Data Engineer to join our growing team. In this role, you will have large influence over our data pipelines and warehouse while ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Apex Informatics

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Location: San Francisco and jersey city ( 3 days onsite 2 days remote) look for nearby Candidates only ( Only w2 Required) Must Have Skills : Spark, AWS, data lake, data pipelining ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping ...

Forhyre

Data Engineer

San Francisco, CA

$134K - $162K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Anthropic

Data Engineer

San Francisco, CA · On-site

$320K - $405K/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 ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Gridware

Data Engineer

San Francisco, CA

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our ...

Brex

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

What you'll do As a Data Engineer II, you'll be a foundational member of a small, high-impact team building the data backbone of our clinical AI platform. Your work will directly enable the research ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in San Ramon, CA

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 7, 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.
More about Data Engineer jobs
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:
Data Engineer jobs near you
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

Methodic

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for their platform. This role involves ensuring efficient and accurate data storage, enabling analytics for platform usage, and contributing to data-driven decisions.
Responsibilities:
• Design and maintain database schemas and data models for various modules (accounts, transactions, ledgers, user activity, etc.), ensuring data integrity and high performance at scale.
• Build and optimize data pipelines for processing and transferring data (e.g., moving transaction data into reporting databases or exporting data for clients' needs) in a reliable and timely manner.
• Develop data warehousing solutions or utilize analytics databases to aggregate large datasets and support reporting, BI dashboards, and ad-hoc analysis.
• Implement ETL/ELT processes to integrate data from external sources (like market data feeds or bank systems) and to feed data into external systems as needed.
• Collaborate with backend engineers to ensure that the application’s data storage and retrieval logic is efficient (especially critical given our high throughput requirements).
• Implement data management best practices including backups, data retention policies, archiving of old data, and ensuring data security/privacy in all pipelines.
• Troubleshoot and resolve any data-related issues such as data quality problems, pipeline failures, or database performance bottlenecks.
Qualifications:
Required:
• 4+ years of experience in a data engineering role.
• Strong proficiency in SQL and experience with one or more relational database systems (e.g., PostgreSQL, Microsoft SQL Server, MySQL), including complex query writing and performance tuning.
• Familiarity with big data or NoSQL technologies (such as Kafka, Hadoop/Spark, Cassandra, etc.) and the ability to apply them when appropriate for scaling or streaming data.
• Experience building and maintaining ETL pipelines – knowledge of tools like Airflow, AWS Glue, or custom scripting for data workflows.
• Understanding of data modeling and warehousing concepts (star schemas, OLAP vs OLTP, etc.).
• Detail-oriented with a focus on data accuracy and reliability; understanding of the importance of data in a financial context and commitment to maintaining its quality.
• Good communication skills to work with cross-functional teams (from engineering to product to business) on data needs and interpretations.
Preferred:
• Experience with data visualization or BI tools (or supporting their data needs) is a plus.
Company:
Methodic is a software company that develops investment systems. Founded in 2018, the company is headquartered in Surry Hills, AUS, with a team of 11-50 employees. The company is currently Early Stage.

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