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

Air Apps

Data Engineer

San Francisco, CA · 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 ...

Rad AI

Data Engineer

San Francisco, CA · 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 ...

New

Apex Informatics

Data Engineer

Pleasanton, CA · 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+ ...

Veev

Data Engineer

Hayward, CA

$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.

Veev

Data Engineer

Hayward, CA · 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.

Stride Search Inc.

Data Engineer

San Francisco, CA

$134K - $162K/yr

We're seeking an exceptional Data Engineer to work on data products at the core of our company's business. Our valuation model, predictive modeling infrastructure, and customer-facing information ...

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

$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 ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/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 ...

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 ...

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 ...

WCI Communities

Data Engineer

Hayward, CA · On-site

$132K - $158K/yr

As a Data Engineer, you will enable efficiency and data-driven decision-making by designing and maintaining reliable data pipelines and reporting systems, directly impacting Veev's mission to improve ...

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 ...

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 ...

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 ...

SpaceXAI

Data Engineer

Palo Alto, CA · On-site

$150K - $210K/yr

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

Mill

Data Engineer

San Bruno, CA

$185K - $210K/yr

The Role As a Data Engineer at Mill, you'll touch systems end-to-end - from raw ingestion to the recommendation a customer sees in the app to managing the data warehouse. You'll architect a warehouse ...

New

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 ...

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 ...

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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 Jul 16, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications 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, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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

Data Engineer

Air Apps

San Francisco, CA • On-site

$111K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

About Air Apps
At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management-and change lives along the way.
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 analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires expertise in data architecture, ETL processes, and cloud-based data solutions to handle large volumes of structured and unstructured data.
Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting.
  • Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure.
  • Implement real-time and batch data processing solutions for various business needs.
  • Work with structured and unstructured data, ensuring proper data modeling and storage strategies.
  • Ensure data reliability, consistency, and scalability through best practices in architecture and engineering.
  • Collaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis.
  • Automate data ingestion, transformation, and validation processes to improve data quality.
  • Monitor and optimize query performance and data processing efficiency.
  • Implement security, compliance, and governance standards for data storage and access control.
  • Stay up to date with emerging data engineering trends, tools, and technologies.

Requirements
  • Around 4+ years of experience in data engineering, software engineering, or database management.
  • Proficiency in SQL, Python, or Scala for data processing and automation.
  • Hands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake).
  • Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran.
  • Strong understanding of data modeling, schema design, and database optimization.
  • Experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus.
  • Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows.
  • Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2).
  • Strong problem-solving and debugging skills with the ability to handle large-scale data challenges.
  • Experience working in fast-paced, data-driven environments with cross-functional teams.

What benefits are we offering?
  • Apple hardware ecosystem for work.
  • Annual Bonus.
  • Medical Insurance (including vision & dental).
  • Disability insurance - short and long-term.
  • 401k up to 4% contribution.
  • Air Conference - an opportunity to meet the team, collaborate, and grow together.
  • Transportation budget
  • Free meals at the hub
  • Gym membership
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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