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Remote Data Engineering Jobs in Martinez, CA (NOW HIRING)

Verse

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

United States (remote) What is Verse? The race to AI has become the race to power. Every ... As a technical leader with advanced data engineering expertise, teammates will look to you to vet ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

Atlassian

Head of Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power GTM(Marketing and Sales )strategy and important decisions across the organization

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

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 ...

Discord

Data Engineer

San Francisco, CA · Remote

$180K - $200K/yr

Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets * Establish and enforce data ...

Meta

Data Engineer, Product Analytics

Fremont, CA · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 ... Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build reusable frameworks, templates, and self-service tooling so both engineering and business ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Martinez, CA

Remote Data Engineering information

See Martinez, CA salary details

$51.8K

$151.1K

$206.8K

How much do remote data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data engineering 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.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Martinez, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $151,131 per year, or $72.7 per hour.

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions Inc

San Francisco, CA • Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 18 days ago

Job description

Data Engineer – Data & AI, Supply Chain (Remote)
 
We are seeking an experienced Data Engineer to join the Data & AI Supply Chain Organization. This role will focus on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across Supply Chain domains including Sourcing, Transportation, and Warehouse Management (WMS).
The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, SQL, and dbt, along with expertise in building scalable ETL/ELT pipelines and modern data warehouse solutions.
 
This is a 40-hour per week, 18-month contract (possible extension), a remote role.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
●    Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
●    Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
●    Ingest, transform, validate, and publish data from multiple enterprise source systems.
●    Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
●    Develop reusable data transformation components following engineering standards and best practices.
●    Optimize data processing performance, reliability, and cost efficiency.
●    Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
●    Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
●    Create and maintain technical documentation including data flows, solution designs, and implementation details.
 
Requirements:
●    Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
●    4+ years of Data Engineering experience.
●    Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
●    Strong experience with:
○    Dataproc
○    BigQuery
○    SQL
○    dbt (Data Build Tool)
●    Experience designing and building scalable ETL/ELT pipelines.
●    Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
●    Experience working with Git-based version control and CI/CD practices.
●    Strong analytical, troubleshooting, and problem-solving skills.
●    Excellent communication and collaboration skills.
 
Preferred Qualifications:
•    Experience with Apache Airflow.
•    Experience with Apache Kafka or other event streaming platforms.
•    Experience with PySpark.
•    Python programming experience for data engineering and automation.
•    Knowledge of data quality, metadata management, and data governance principles.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Data Engineer – Data & AI, Supply Chain (Remote) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $35/hr. - $40.50/hr.
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