1

Senior Data Engineer Jobs in Novato, CA (NOW HIRING)

Senior Data Engineer

San Francisco, CA ยท On-site

$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 ...

Senior Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

Senior Data Engineer

Berkeley, CA ยท 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 ...

Senior Data Engineer

San Francisco, CA ยท On-site

$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 ...

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 ...

Senior Data Engineer

Berkeley, CA ยท On-site

$200 - $250/hr

Standardize and enforce engineering workflows across the data stack, such as version control, code review, CI/CD, testing, and documentation * Maintain and support on-prem server systems connected to ...

Senior Data Engineer

San Francisco, CA ยท On-site

$200K - $400K/yr

The Role 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 ...

Senior Data Engineer

San Francisco, CA ยท 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 ...

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 ...

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 ...

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 ...

About the role you're consideringWe are seeking a highly experienced Senior Data Engineering Lead with minimum 8+ years' experience in modern data engineering, data warehousing and data lake ...

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription ...

Senior Data Engineer - Finance

San Francisco, CA ยท On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription ...

Senior Software Engineer, Data

San Francisco, CA ยท 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.

Showing results 41-60

Senior Data Engineer information

See Novato, CA salary details

$95.1K

$148.3K

$205.5K

How much do senior data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data engineer in Novato, CA is $148,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $169,100.00 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 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.

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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Novato, CA?

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

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

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

Infographic showing various Senior Data Engineer job openings in Novato, 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 $148,318 per year, or $71.3 per hour.

SF-based Senior Data Engineer -- Scale PB Pipelines & AI (San Francisco)

Evolve Group

San Francisco, CA โ€ข On-site

$142K - $188K/yr

Full-time

Re-posted 6 days ago


Job description

A rapidly growing tech start-up in San Francisco is seeking a Senior Data Engineer to enhance their cloud infrastructure and develop PB scale data pipelines. The role requires over 7 years of experience in data engineering, particularly in start-ups, with skills in Snowflake, Databricks, and data orchestration tools. This is an exciting opportunity to join a team that's leveraging AI to innovate in the data engineering space and participate in their growth journey.
#J-18808-Ljbffr