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

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 ...

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 ...

xAI

Data Engineer

Palo Alto, CA

$240K - $280K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation ...

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 ...

Redolent, Inc

Back-End Data Engineer

San Bruno, CA · On-site

$136K - $164K/yr

One of our direct client is urgently looking for a Back-end Data Engineer @ San Bruno, CA TITLE: Back-End Data Engineer LOCATION:San Bruno, CA Duration: 6 to 12+ months Rate: DOE Duties: Looking for ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation ...

Redolent, Inc

Data Engineer

Sunnyvale, CA · On-site

$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 International Search Team ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Akidev Corporation

Data Engineer III

Menlo Park, CA · On-site

$134K - $162K/yr

Data Analytics & Engineering - Data Engineer III Summary Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

Regard

Data Engineer

San Francisco, CA · Remote

$140K - $175K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Visa

Data Engineer

Foster City, CA · Hybrid

$133K - $160K/yr

As a Senior Consultant Data Engineer , you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within ...

Robot.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data ...

Archer

Data Engineer

San Jose, CA

$134K - $161K/yr

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design ...

Brex

Data Engineer

San Francisco, CA · On-site

$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 ...

Deloitte

Databricks Data Engineer

San Francisco, CA

$134K - $162K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Archer

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design ...

Deloitte

Databricks Data Engineer

San Jose, CA

$134K - $161K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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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

Forhyre

San Francisco, CA

$134K - $162K/yr

Full-time

Posted 2 days ago

Job description

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 responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal