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Data Engineer Jobs in Hayward, CA (NOW HIRING)

Data Engineer

Tracy, CA ยท 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 ยท 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

Bay Point, CA ยท 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 ...

Data Engineer

San Francisco, CA ยท 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 ...

Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data ...

Data Engineer

Sunnyvale, CA ยท 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

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

San Francisco, CA ยท 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 ...

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

Sunnyvale, CA ยท 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 ...

Data Engineer

Sunnyvale, CA ยท 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

Sunnyvale, CA ยท 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.

Data Engineer

Foster City, CA ยท 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 ...

"DATA ENGINEER"

Cupertino, CA ยท 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:

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Data Engineer information

See Hayward, CA salary details

$51K

$148.7K

$203.5K

How much do data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer in Hayward, CA is $148,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $157,600.00 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 Hayward, CA?

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

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,719 per year, or $71.5 per hour.

Data Engineer

Tracy, CA โ€ข On-site

$123K - $148K/yr

Contractor

Re-posted 22 days ago


Job description

Company Description
Maayee information Technology.
Job Description
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 models for optimal storage and retrieval
Deploy inclusive data quality checks to ensure high quality of data
Optimize existing pipelines and implement new ones, maintenance of all domain-related data pipelines
Ownership of the end-to-end data engineering component of the solution
Collaboration with the program's SMEs, data scientists
Data Engineer will rotate on an On-Call shift as needed to support the team.
Skills:
5+ years' experience in data engineering, proven expertise of applying DWH/ETL best practices
proficiency in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive)
competence with relational databases (Oracle, MySQL)
experience working with enterprise DE tools, ability to learn in-house DE tools quickly
coding and scripting experience with Python, Java, PHP, SQL, CLI
Keywords:
Education:
BS/MS in Computer Science or a related technical field
Skills and Experience:
Required Skills:
CODING
ENGINEER
ETL
HIVE
MYSQL
Additional Skills:
SCRIPTING
SQL
APACHE HADOOP MAPREDUCE
DATA MODELS
DATA QUALITY
DATA WAREHOUSE
DATABASE
DATABASES
EXTRACT, TRANSFORM, AND LOAD
HADOOP
LAMP
LAMP STACK
MAINTENANCE
MAPREDUCE
ORACLE
QUALITY CHECKS
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.