ZipRecruiter

Log In

1

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

Kai Cyber, Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

T HE ROLE Kai is hiring a Sr. Data Engineer to join our data infrastructure team. This is a hands-on, high-ownership role at the core of what we do - we live on ingesting and processing data at very ...

Adobe

Senior Data Engineer

San Francisco, CA · On-site

$163.20 - $236.40/hr

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products! What you'll Do Build, scale and optimize the data ...

Adobe

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products! What you'll Do * Build, scale and optimize the data ...

Adobe, Inc.

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products! What you'll Do * Build, scale and optimize the data ...

CoreWeave

Senior Data Engineer

San Francisco, CA

$182K - $242K/yr

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

CoreWeave

Senior Data Engineer

Sunnyvale, CA · On-site

$182K - $242K/yr

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

Punch Agency

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Go ahead and check out some of our work here: www.punch-agency.com We are seeking an extremely talented senior/lead data engineer to design & implement highly reliable & scalable Audience Management ...

Your AI Department

Senior Data Engineer

San Francisco, CA · On-site

$180 - $260/hr

# Senior Data EngineerBay Area (Remote-Flexible)Full-timeData EngineeringWe are seeking an exceptional problem solver who operates at the intersection of data architecture, pipeline engineering, and AI ...

New

Regard

Senior Data Engineer

San Francisco, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

KAYAK

Senior Data Engineer

Concord, CA · On-site

$130 - $160/hr

We are looking for a Senior Data Engineer to join our Business Intelligence team. Our team builds and operates the data backbone that serves as the single source of truth for the organization. We ...

Airwallex

Senior Data Engineer

San Francisco, CA · On-site

$140 - $190/hr

Senior Data Engineer Hiring Location: San Francisco Part 1. Data Modeling * Design and implement robust and scalable data models that support business intelligence, machine learning, and operational ...

Airwallex

Senior Data Engineer

San Francisco, CA · On-site

$160K - $260K/yr

Senior Data Engineer Hiring Location: San Francisco Part 1. Data Modeling * Design and implement robust and scalable data models that support business intelligence, machine learning, and operational ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

The role We're looking for a data engineer who can operate at a Senior level: * You've built and scaled data pipelines and systems, with hands-on experience across the ecosystem -- distributed ...

Metriport Inc

Senior Data Engineer

San Francisco, CA · On-site

$180K - $220K/yr

The role We're looking for a data engineer who can operate at a Senior level: * You've built and scaled data pipelines and systems, with hands-on experience across the ecosystem - distributed ...

Third Wave Automation

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data truth. We operate autonomous products in complex, unpredictable customer environments. This generates ...

Third Wave Automation

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data truth. We operate autonomous products in complex, unpredictable customer environments. This generates ...

previous page

Showing results 41-60

All JobsSr Data Engineer JobsSr Data Engineer Jobs in San Ramon, CA

Sr Data Engineer information

See San Ramon, CA salary details

$90.5K

$141.2K

$195.6K

How much do sr data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for sr data engineer in San Ramon, CA is $141,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $160,900.00 per year, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Sr Data Engineer jobs in San Ramon, CA?

For Sr Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in San Ramon, CA look for?

The top searched job categories for Sr Data Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Sr Data Engineer jobs?

Cities near San Ramon, CA with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $141,174 per year, or $67.9 per hour.

Senior Data Engineer

Kai Cyber, Inc.

San Jose, CA • On-site

$124K - $168K/yr

Full-time

Re-posted 11 days ago

Job description

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.
Why Join Kai
  • Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles.
  • Proven: We've earned the trust of Fortune 500 and Global 1000 companies, and we're just getting started. Their confidence in Kai reflects what we've built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands.
  • Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals.
  • World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world's most influential companies, ensuring top-tier mentorship, direction, and vision.
  • Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications.
  • Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.

THE ROLE
Kai is hiring a Sr. Data Engineer to join our data infrastructure team. This is a hands-on, high-ownership role at the core of what we do - we live on ingesting and processing data at very high speed, and this person owns the systems that make that possible.
You will design, build, and optimize the data pipelines and infrastructure that power Kai's security platform across some of the largest enterprises in the world. This is not an advisory role. You are expected to architect and implement, to identify what needs to change, and start working on it.
We are building a world-class data function. The person who joins now will have real influence over how that function evolves.
WHAT YOU'LL DO
  • Design and build scalable data pipelines for batch and real-time processing across Kai's agentic AI platform
  • Own and optimize high-volume data infrastructure handling hundreds of millions of entries with low latency and high reliability
  • Build and maintain data models and storage systems optimized for large-scale, high-throughput security data workloads
  • Identify bottlenecks in the current architecture and drive optimization - reduce processing time, improve reliability, and make the customer experience better
  • Lead the Terraformization of data pipelines to enable cloud-agnostic deployment across Azure, AWS, and GCP
  • Integrate and manage cloud data services, ensuring secure service principles, permissions, and cross-service connectivity
  • Collaborate closely with Backend Engineering teams on both the ingestion and consumption sides of the data pipeline
  • Ensure data quality, consistency, and reliability across all pipelines
  • Contribute to code reviews, technical documentation, and best practices
  • Bring a point of view - propose solutions, not just problems, and start building before you're asked

WHAT YOU'LL BRING
Required:
  • 7+ years of experience in data engineering or data platform engineering
  • Must have hands-on experience handling up to 200M+ entries in materialized views in an asynchronous manner
  • Strong proficiency in Python and SQL - these are how our systems are written
  • Strong data modeling skills - you can design schemas and storage systems that hold up at scale
  • Experience with NoSQL databases at scale - CosmosDB, MongoDB, or equivalent
  • Proven experience designing and building large-scale distributed data pipelines in both batch and streaming modes
  • Hands-on experience with Flink, Kafka, Spark, or similar stream and batch processing frameworks
  • Experience with data pipeline orchestration tools - Airflow, Temporal, or equivalent
  • Infrastructure experience - Terraform, Kubernetes, and Docker are expected, not aspirational
  • Cloud platform expertise - deep hands-on experience in at least one major cloud platform (Azure, AWS, or GCP); Azure experience strongly preferred
  • Strong communication skills - you work cross-functionally and can explain complex systems clearly

Preferred:
  • DataOps experience - ability to own data infrastructure decisions independently, reducing dependency on DevOps for pipeline deployment, permissions, and service integration
  • Experience with data systems supporting AI/ML workloads - feature stores, ML pipelines, or dataset versioning
  • Experience with DeltaLake, Apache Iceberg, or similar open table formats
  • Startup or high-growth experience - you have operated in a fast-paced environment where things change quickly, and ownership is expected

Apply