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Remote Data Jobs in San Rafael, CA (NOW HIRING)

Data Engineer

San Francisco, CA ยท On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Data Scientist

San Francisco, CA ยท On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Analysis of live-streaming data and turning it into actionable decisions * Design and set up tests ...

Data Engineer

San Francisco, CA ยท On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Data Engineer

Emeryville, CA ยท 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 ...

In our increasingly data-driven world, it's essential for our customers and prospects to have ... We are looking for a spatial thinker with a passion for remote sensing analysis and visual ...

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Showing results 1-20

Remote Data information

See San Rafael, CA salary details

$51.3K

$183.9K

$271.4K

How much do remote data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data in San Rafael, CA is $183,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,800.00 and $189,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in San Rafael, CA?

The most popular types of Data jobs in San Rafael, CA are:

What job categories do people searching Remote Data jobs in San Rafael, CA look for?

The top searched job categories for Remote Data jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Remote Data jobs?

Cities near San Rafael, CA with the most Remote Data job openings:

Infographic showing various Remote Data job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $183,947 per year, or $88.4 per hour.

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

Stage 4 Solutions Inc

San Francisco, CA โ€ข Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 25 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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