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Data Engineer Jobs in Martinez, CA (NOW HIRING)

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · 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 ...

Syntricate Technologies

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 ...

ChaTeck Incorporated

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Role: Data Engineer Location: Bay Area, CA Why Join Us? * Work with a leading technology organization in the digital and data-driven industry. * Gain hands-on experience building and optimizing ...

New

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 ...

The AES Group

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Role: Data Engineer Location: Bay Area, CA Why Join Us? * Work with a leading technology organization in the digital and data-driven industry. * Gain hands-on experience building and optimizing ...

New

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 ...

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 ...

Info Way Solutions

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

Anthropic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/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 ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an experienced and hands-on Lead Data Engineer to join our Enterprise Data & AI Organization. In this role, you ...

Sigma Computing

Data Engineer

San Francisco, CA

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and they're hiring a Data Engineer to own the systems that power how we understand and operate the business. You'll architect and evolve the full ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and they are seeking a Data Engineer to own the systems that power how they understand and operate the business. The role involves architecting ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Golden State

Data Engineer

San Francisco, CA · On-site

$144K - $153K/yr

About the Position The Golden State Warriors are looking for an experienced Data Engineer to join the growing Business Strategy and Analytics team. In this role, you will help us achieve our mission ...

AVEVA

Data Engineer

San Leandro, CA · On-site

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance ...

Aveva

Data Engineer

San Leandro, CA · Hybrid

$89K - $148K/yr

Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance ...

NexDimension

Data Engineer

San Francisco, CA · On-site

$150 - $200/hr

We have a full-time job opportunity of Data Engineer in San Francisco, California (Hybrid). Location: San Francisco, California (Hybrid, 3 times a week at client's office in the Bay Area ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$235K - $385K/yr

About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide ...

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All JobsData Engineer JobsData Engineer Jobs in Martinez, CA

Data Engineer information

See Martinez, CA salary details

$51.8K

$151.1K

$206.8K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Martinez, CA is $151,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 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 Martinez, CA?

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Martinez, CA as of August 2026, with employment types broken down into 84% Full Time, 9% Temporary, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $151,131 per year, or $72.7 per hour.

Data Engineer

(EDO) Entertainment Data Oracle, Inc.

San Francisco, CA • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement

Posted 26 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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