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

Prophecy Technologies

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

Pantar Solutions, Inc.

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands ...

Maayee Information Technology Pvt Ltd

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse application Securely source external data from numerous global partners Intelligently design data ...

Full Scope

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Location: San Francisco, CA Required Clearance : Secret Salary: Competitive We are looking for a skilled Data Engineer with a strong focus on AI and machine learning to join our dynamic ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will lead the development of data pipelines and core tables, collaborating with various teams to ensure data integration and compliance while supporting product growth and safety ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills • 8+ years of professional experience in data engineering or backend data ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

Redolent, Inc

Data Engineer

San Bruno, CA · On-site

$136K - $164K/yr

Data Engineer LOCATION:San Bruno, CA Duration: 6 to 12+ Months Rate: DOE Note: Looking for a Data Engineer who is well versed with Hive, Spark, Python and Airflow. Skills * Designs, develops, and ...

GridCARE

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

About Us GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Prophecy Technologies

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

We are looking for a Data Engineer having proficiency in SQL coding, Python coding and Spark. Key Responsibilities: * We are looking for a Data Engineer having proficiency in SQL coding, Python ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$130K/yr

If you are a data engineer who builds durable data systems with long-term scalability in mind, we want to hear from you. * Focus on solving problems using the simplest possible architecture. * self ...

Redolent, Inc

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Note: Big Data - Hadoop, Hive, Spark Public cloud - GCP Programming - Java, Python, Scala, SQL Data base - MySQL, others ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Redolent, Inc

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION: Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Description: Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Redolent, Inc

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Client Note: Accelerate migration of legacy on-prem Hive/Spark/Airflow pipelines and workloads to public cloud, leveraging GCP ...

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Showing results 1-20

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 Jun 24, 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 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 June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $144,961 per year, or $69.7 per hour.

Data Engineer

Prophecy Technologies

Palo Alto, CA • On-site

$134K - $161K/yr

Full-time

Posted 20 days ago

Job description

Role Summary
We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design,
development, and optimization of enterprise data solutions using Microsoft Azure and Microsoft
Fabric. The ideal candidate will lead data engineering efforts, mentor junior engineers, and
collaborate with cross-functional teams to deliver scalable and secure data platforms.
Key Responsibilities
- Lead the design and implementation of data pipelines and ETL processes using Azure Data
Factory, Synapse, and other Azure services.
- Architect and optimize data models and storage solutions for performance and scalability.
- Integrate data flows within Microsoft Fabric for unified analytics and reporting.
- Collaborate with stakeholders to gather requirements and translate them into technical solutions.
- Ensure data quality, security, and compliance across all data engineering activities.
- Mentor and guide junior data engineers in best practices and technical execution.
- Troubleshoot and resolve data workflow issues and performance bottlenecks.
Required Skills
- Extensive experience with Azure Data Services (Data Factory, Synapse, Databricks, etc.).
- Strong knowledge of Microsoft Fabric and its integration capabilities.
- Proficiency in SQL, Python, and Spark for data transformation and analysis.
- Experience with CI/CD pipelines and DevOps practices in data engineering.
- Understanding of data governance, lineage, and metadata management

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