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Data Engineer Jobs in Fremont, CA (NOW HIRING)

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 ...

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 ...

Data engineer

San Francisco, CA · On-site

$134K - $162K/yr

Syntricate Technologies is seeking a Data Engineer for a contract position. The role involves working with SQL and Snowflake, as well as understanding data pipelines and documentation of data ...

Data Engineer

Pleasanton, CA · On-site

$135 - $150/hr

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 ...

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 ...

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 ...

Data Engineer

Redwood City, CA · On-site

$120 - $170/hr

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 ...

New

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 ...

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 ...

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 ...

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 ...

Data Engineer

Mountain View, CA · On-site

$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 ...

"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:

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is a company seeking a Data Engineer with significant experience. The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications

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.

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Data Engineer information

See Fremont, CA salary details

$48.7K

$142K

$194.3K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Fremont, CA is $141,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,500.00 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.

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

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

What are popular job titles related to Data Engineer jobs in Fremont, CA?

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

What job categories do people searching Data Engineer jobs in Fremont, CA look for?

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

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

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

Infographic showing various Data Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,996 per year, or $68.3 per hour.

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

The Role

As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy.

You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.

What We Are Looking For
  • 3-6 years of experience as a Data Engineer.
  • Hands‑on experience with cloud data platforms (Snowflake or Redshift preferred).
  • Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred).
  • Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt.
  • Strong SQL skills, including query optimization, data modeling, and working with large datasets.
  • Proficiency in at least one scripting language, preferably Python.
  • Hands‑on experience with large‑scale, complex data pipelines operating at billions to trillions of rows of data.
  • Ability to work independently on well‑scoped projects, collaborate with cross‑functional partners, and deliver production‑ready solutions.
Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

  • Mid‑stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $120,000 to $160,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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