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Data Engineer Jobs in Sunnyvale, CA (NOW HIRING)

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 ...

Vagaro

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

As a Data Engineer at Vagaro, you will play a critical role in designing and maintaining scalable data architectures on the Microsoft Fabric platform. You will lead the design and optimization of ETL ...

Vagaro

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

As a Data Engineer at Vagaro, you will play a critical role in designing and maintaining scalable data architectures on the Microsoft Fabric platform. You will lead the design and optimization of ETL ...

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 Years About the Role We are seeking an experienced Data Engineer for an onsite contract opportunity ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$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 ...

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$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 ...

Cypress HCM

Data Engineer

Mountain View, CA

$70 - $95/hr

Data Engineer The Cloud services group is looking for world class engineers to join our technology innovation group focused on the rapid development of cloud based end-to-end mobile applications and ...

Reveille Technologies

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Minimum 6 to 12 years of experience as data engineer in AI ML. * Snowflake and Python/Scala/Java * SQL, No SQL database, Hadoop ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Data Engineer Location: Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise:

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 ...

Numeric

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: * Data Engineer (TERMINUS) * 3+ years of hands-on Data Warehousing and Data Engineering experience.

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 ...

Glow Networks

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote) Responsibilities: * Design, develop, and maintain scalable and reliable data pipelines to support the growing data needs ...

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Sunnyvale, CA

Data Engineer information

See Sunnyvale, CA salary details

$52.2K

$152.2K

$208.3K

How much do data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer in Sunnyvale, CA is $152,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $161,400.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Sunnyvale, CA?

The most popular types of Data Engineer jobs in Sunnyvale, CA are:

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For Data Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Data Engineer jobs?

Cities near Sunnyvale, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,325 per year, or $74.2 per hour.

Data Engineer

Sunnyvale, CA • On-site

Nastech Global
See more jobs at Nastech Globalexternal

$134K - $161K/yr

Full-time

Re-posted 24 days ago

Job description

Job Title: Data Engineer(SQl, Python)
Location: Sunnyvale, CA (onsite)
Job Type: full time
 
Job Description
Must Have Technical/Functional Skills
•  8+ years of professional experience in data engineering or backend data development roles.
• Expert-level proficiency in SQL, including performance tuning, window functions, CTEs, and analytical queries.
• Strong Python skills for scripting, data processing, and building ETL logic.
• Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).
• Proven experience designing and maintaining large-scale data pipelines in production environments.
• Solid understanding of data modeling techniques (dimensional modeling, normalization/denormalization).
• Strong grasp of data quality, validation, and governance practices.
• Proficiency with version control systems (e.g., Git) and agile development workflows.
• Ability to troubleshoot complex data issues and provide scalable solutions.
 
Roles & Responsibilities
•  Design, build, and maintain robust and scalable ETL/ELT pipelines using SQL and Python.
• Architect and implement high-performance data models that support both real-time and batch processing.
• Optimize complex SQL queries for performance, scalability, and reliability across large datasets.
• Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers.
• Own and improve data quality, validation, and governance processes.
• Monitor data pipelines and proactively address performance and reliability issues.
• Mentor and support junior data engineers through code reviews, design sessions, and technical leadership.
• Document data flows, definitions, models, and architecture for internal stakeholders and governance purposes.
• Participate in architectural decisions and contribute to long-term data platform strategy.