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

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping ...

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Gridware

Data Engineer

San Francisco, CA

$160K - $175K/yr

Role Overview As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional ...

Forhyre

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our ...

Brex

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

What you'll do As a Data Engineer II, you'll be a foundational member of a small, high-impact team building the data backbone of our clinical AI platform. Your work will directly enable the research ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Weekday AI

Data Engineer - Finance

San Francisco, CA

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Robot.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data ...

Bazze

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Data Engineer, you will play a crucial role in scaling back end data operations, designing and implementing features used by research scientists and analysts globally. Responsibilities : • ...

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role ...

Brex

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex ...

Regard

Data Engineer

San Francisco, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Humble Robotics

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Position Overview We're looking for a data engineer to help us turn raw driving data into the well-structured, queryable, and trustworthy datasets that power our autonomy stack. You'll work across ...

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and drive the design, development, and delivery of enterprise-scale data products on Google Cloud Platform ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

What you'll do As a Data Engineer II, you'll be a foundational member of a small, high-impact team building the data backbone of our clinical AI platform. Your work will directly enable the research ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in San Rafael, CA

Data Engineer information

See San Rafael, CA salary details

$49.6K

$144.6K

$197.9K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in San Rafael, CA is $144,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,600.00 and $153,300.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
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What are popular job titles related to Data Engineer jobs in San Rafael, CA? For Data Engineer jobs in San Rafael, CA, the most frequently searched job titles are:
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What cities near San Rafael, CA are hiring for Data Engineer jobs? Cities near San Rafael, CA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in San Rafael, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $144,596 per year, or $69.5 per hour.

Data Engineer

Gridware

San Francisco, CA • On-site

$160K - $175K/yr

Full-time

Re-posted 13 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Overview
As a Data Engineer at Gridware, you’ll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You’ll work closely with cross-functional engineers to ensure telemetry, sensor data, and operational information flows reliably through our Lakehouse and into analytics and monitoring tools. This is a hands-on, high-growth role ideal for engineers ready to deepen their expertise in distributed data systems.
Responsibilities
  • Building ETL/ELT pipelines that ingest transformer, pole, and sensor telemetry into Gridware’s Data Lake and Lakehouse
  • Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks, and Spark
  • Implementing data quality checks, validation rules, and automated testing for stable operations
  • Collaborating with Software, Firmware, and Data Science teams to define ingestion schemas and transformations
  • Working with cloud-native tools to optimize pipeline throughput and cost efficiency
  • Monitoring pipelines for reliability, troubleshooting issues, and contributing to on-call rotations
  • Writing documentation for data processes, models, and metadata
Required Skills
  • 2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure)
  • Strong proficiency in Python and SQL
  • Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent)
  • Experience with pipeline orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Understanding of event-driven systems or streaming platforms (Kafka, Kinesis, Pub/Sub)
  • Solid foundation in data modeling, testing, and version control
  • Ability to work collaboratively in a high-autonomy, fast-paced environment
Bonus Skills
  • Experience with IoT, telemetry ingestion, or time-series data
  • Exposure to Unity Catalog, governance, or schema enforcement
  • Understanding of Protobuf, Avro, Parquet, or serialization formats
  • Hands-on experience with observability tools (Grafana, OpenTelemetry)
**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training