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

RZR Global Inc.

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes ...

Triumph Arcade, Inc

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

As our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model outputs back ...

Triumph

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

As our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model outputs back ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling 5+ years of experience with JVM languages: Java or Scala 5+ years experience with big ...

Aircapture

Senior Data Engineer

Berkeley, CA · On-site

$180K - $220K/yr

Partnering with our test and engineering teams, you'll turn the continuous stream of sensor, process, and test data from the physical equipment in the field and shop into actionable decisions. You ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling 5+ years of experience with JVM languages: Java or Scala 5+ years experience with big ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling 5+ years of experience with JVM languages: Java or Scala 5+ years experience with big ...

AgileEngine

Senior Data Engineer ID75059

San Francisco, CA · On-site

$124K - $169K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Data Engineer at fal, you will build the data infrastructure that turns internal systems and external vendor relationships into a clear picture of cost, margin, and performance.

SEP

Senior Data Engineer (in person)

Emeryville, CA · On-site

$122K - $166K/yr

They are seeking a Senior Data Engineer to lead data engagements, design and implement data pipelines, and mentor other engineers, while ensuring the quality and effectiveness of data solutions.

Blue Shield of California

Data Engineer, Senior

Oakland, CA · On-site

$102K - $154K/yr

The Data Engineer,Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operating complex data pipelines and cloud data ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in San Rafael, CA

Senior Data Engineer information

See San Rafael, CA salary details

$90.3K

$140.8K

$195.1K

How much do senior data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data engineer in San Rafael, CA is $140,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in San Rafael, CA? The most popular types of Data Engineer jobs in San Rafael, CA are:
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What cities near San Rafael, CA are hiring for Senior Data Engineer jobs? Cities near San Rafael, CA with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in San Rafael, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $140,819 per year, or $67.7 per hour.

Senior Data Engineer

RZR Global Inc.

San Francisco, CA

$124K - $169K/yr

Full-time

Re-posted 24 days ago

Job description

Who are we?

RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

Role Overview

RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights.

Key Responsibilities

  • Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.

  • Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.

  • Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases.

  • Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.

  • Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.

  • Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.

  • Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.

Required Skills / Experience

  • 6+ years of experience in data engineering, backend engineering, or distributed systems development.

  • Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.

  • Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.

  • Experience designing efficient data models and schemas for analytical and real-time workloads.

  • Strong experience with streaming and batch processing architectures.

  • Experience with performance tuning, capacity planning, and troubleshooting production data systems.

  • Familiarity with data quality, monitoring, alerting, and operational best practices.

  • Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.

  • Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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