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

Senior Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

Senior Data Engineer - Platform Engineering Location: San Francisco, Los Angeles, or Dallas - Hybrid (Requires three days/week in our San Francisco, Los Angeles or Dallas office) Type: Full-time ...

Senior Data Engineer

Berkeley, CA ยท On-site

$90K - $100K/yr

Senior Data Engineer Location: Berkeley, CA (Onsite - 5 Days/Week) Employment Type: Contract/Full-Time About the Role We are seeking a Senior Data Engineer to join an innovative company in the ...

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team. In this role you will work directly with stakeholders to understand their data needs, build and ...

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team. In this role you will work directly with stakeholders to understand their data needs, build and ...

Senior Data Engineer

San Francisco, CA ยท On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

Senior Data Engineer

Emeryville, CA ยท On-site

$140/day

Senior Data Engineer Industry: Healthcare Location: Emeryville, CA Assignment Type: Full time, direct hire Expected Salary: $140-180k Work Schedule: Hybrid, 1 day a week Benefits: This position is ...

Senior Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

As a Senior Data Engineer, you will play a key role in building and maintaining data infrastructure that drives decision-making processes and enhances product development. Responsibilities : โ€ข ...

Senior Data Engineer

San Francisco, CA ยท On-site

$180K - $220K/yr

Senior Data Engineer San Francisco, CA Hybrid About us Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time: record ...

Sr. Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product ...

Role Description As a Senior Data Engineer at Gridware, you'll design and scale the data infrastructure that powers our real-time grid monitoring platform. You'll build high-performance pipelines ...

Senior Data Engineer

San Francisco, CA ยท On-site

$170K - $200K/yr

As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets ...

Senior Data Engineer

San Francisco, CA ยท Hybrid

$170K - $200K/yr

As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets ...

Sr. Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product ...

Role Description As a Senior Data Engineer at Gridware, you'll design and scale the data infrastructure that powers our real-time grid monitoring platform. You'll build high-performance pipelines ...

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Showing results 1-20

Sr Data Engineer information

See San Rafael, CA salary details

$90.3K

$140.8K

$195.1K

How much do sr data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr 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 the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in San Rafael, CA? For Sr Data Engineer jobs in San Rafael, CA, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in San Rafael, CA look for? The top searched job categories for Sr Data Engineer jobs in San Rafael, CA are:
What cities near San Rafael, CA are hiring for Sr Data Engineer jobs? Cities near San Rafael, CA with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,819 per year, or $67.7 per hour.

Senior Data Engineer

Kaav Inc

San Francisco, CA โ€ข On-site

$124K - $169K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Title: Senior Data Engineer - Platform Engineering

Location: San Francisco, Los Angeles, or Dallas - Hybrid (Requires three days/week in our San Francisco, Los Angeles or Dallas office)

Type: Full-time

Reports to: Director of Data Engineering - Platform Engineering

About the Role: As a Senior Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data services and pipelines, ensuring that our data services support the needs of the business. You will collaborate with cross-functional teams to enable operational data analysis, enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable architectures, and optimizing our data environments. This role is required to be hybrid three days per week in our San Francisco, Los Angeles or Dallas office and will report into our Director of Data Engineering - Platform Engineering.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 8+ years of experience in data engineering, with a focus on building and optimizing data pipelines, data architecture, and eventing systems.
  • Extensive experience with AWS cloud platform and their data-related services.
  • Proficiency in automation frameworks (e.g., Terraform, Cloud Formation).
  • Proficiency in data lake and pipeline tools and frameworks (e.g., Databricks, Apache Kafka/Kinesis, AWS Glue).
  • Proficiency in one or more programming languages (e.g. Python, Java)
  • Strong understanding of SQL (e.g. Redshift, Snowflake, RDS) and NoSQL databases (e.g., DynamoDB) and experience in enabling analytical queries on these platforms.
  • Experience with search optimization, including schema design and query tuning.
  • Experience in building CI/CD pipelines, testing frameworks (e.g. dbt), and best practices in data engineering.
  • Strong problem-solving skills and a proactive approach to identifying and addressing issues.
  • Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
  • Strong communication skills and the ability to mentor and guide junior engineers.

Benefits

  • Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
  • Enjoy flexible PTO and time off policies allowing you to take the time you need to be your whole self.
  • Appreciate the generous medical, dental, vision, STD, LTD, and life insurance options for you and your family.
  • Take advantage of our health saving account HSA program plus health care and dependent care FSA programs.
  • Love that we offer an employer match on our 401(k) plan.
  • Receive employer paid commuter benefit (for eligible employees)
  • Appreciate the generous support program for new parents
  • Obtain pet insurance and some of our offices are pet friendly!