Senior Staff Data Engineer Jobs in California
Senior Staff Data Engineer jobs in California are among the most active in the country, concentrated in technology, fintech, healthcare, and enterprise software with demand at every level from mid-career engineers through principal-tier architects. The largest hiring markets are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Kaiser Permanente maintain deep data engineering teams. The most sought-after specializations in California include distributed systems design, real-time streaming pipelines, and cloud data platform architecture across AWS, GCP, and Azure. Find a role that fits below and apply directly.
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It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
PLEASE DO NOT APPLY IF YOU DON'T MEET THIS FEDERAL REQUIRMENT
The ServiceNow Security Organization (SSO)
The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact
About the role
Our security teams pull data from a lot of separate systems. Asset inventory, identity governance, detection tooling, and threat intel all live in different places, so answering a basic question like which systems an attacker could reach from a compromised account can take a security analyst most of a day.
We're building a platform that connects those systems behind a shared API and knowledge layer so those questions can be answered in seconds. We are not replacing the source systems or copying their data.
You would be a senior individual contributor on a small team, responsible for whole areas of the platform: designing the API contracts, building the services behind them, getting them into production, and working with partner teams to actually adopt them.
This is a hands-on role. You will write code, define interfaces other teams build against, and work directly with stakeholders in detection engineering, red team, blue team, and identity and asset management.
What you'll do
- Design and build the platform's core APIs, covering context retrieval, risk scoring, entity resolution, data contracts, and coverage queries.
- Build and run asynchronous data pipelines on a message bus with a governed schema registry.
- Integrate security data sources including SIEM, identity governance, asset inventory, and our knowledge graph.
- Own platform workstreams from scoping through delivery, including the cross-team coordination that takes.
- Write design proposals and review other people's, as part of the platform's RFC process.
- Review code, mentor engineers on partner teams who contribute to the platform, and keep the technical documentation usable.
Qualifications
Required qualifications
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
- 12+ years of professional software engineering experience, including systems you have operated in production and not just shipped. OR SIMILAR EXPERIENCE WITH EDUCATION
- Expert-level Python: data processing at scale, API development, and real testing discipline in a production codebase.
- Deep hands-on Splunk experience. SPL, data onboarding and normalization, search performance tuning, and working with the Splunk APIs.
- Software architecture ownership on distributed or data-intensive systems. You have defined service and API boundaries, documented the tradeoffs, and revised a design when the requirements moved.
- A real cybersecurity background: security operations, detection engineering, threat detection, incident response, or security data engineering. You should know how security telemetry gets produced and consumed, and be comfortable with frameworks like MITRE ATT&CK.
- Project ownership at a senior IC level. You have taken an initiative from a vague problem statement to a delivered result, worked across team boundaries to do it, and kept engineering leadership informed without needing to be managed through it.
Beneficial qualifications
- Data science experience: statistical analysis, feature engineering, anomaly detection, or building and evaluating models against noisy operational data.
- Applied AI or ML experience, particularly LLM-based systems, retrieval-augmented generation, knowledge graphs, or agentic workflows, along with some interest in the security side of enterprise AI adoption.
- Experience with identity governance or asset inventory platforms.
- Experience defining data contracts or governance models for internal platform consumers.
First year
By the end of your first year you own one or more of the platform's core APIs, partner teams are building against contracts you wrote, and you are one of the people whose opinion carries weight in architecture and design discussions for the program.
#SecurityJobs
For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
See All 14 Senior Staff Data Engineer Jobs in California
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Where California roles are concentrated, by current openings.
Senior Staff Data Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Investment & Asset Management
What California Employers Look For
The qualifications that appear most often in senior staff data engineer jobs across California.
- Bachelor's or master's degree in computer science, data engineering, or a closely related field
- Seven or more years of data engineering experience including staff or principal-level ownership
- Deep expertise in distributed data systems such as Spark, Kafka, or Flink at production scale
- Proficiency designing and operating cloud data platforms on AWS, GCP, or Azure
- Experience leading cross-functional data infrastructure projects and mentoring engineering teams
- Strong knowledge of data modeling, data lake architecture, and modern ELT pipeline patterns
Senior Staff Data Engineer Jobs in California: Frequently Asked Questions
How do you become a senior staff data engineer in California?
Reaching senior staff level in California typically requires a bachelor's or master's degree in computer science or a related technical field, followed by progressive data engineering roles with increasing ownership of architecture decisions. There is no state-issued license required for this role. California employers place particular weight on demonstrated experience leading large-scale distributed systems, a portfolio of infrastructure projects, and the ability to define engineering standards across teams at major tech, fintech, or healthcare organizations.
How much do senior staff data engineers make in California?
Senior staff data engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior staff data engineers in California?
Employers hiring senior staff data engineers in California right now include ServiceNow, DDN, and Biohub, based on current listings on Migrate Mate as of September 2026. California's density of technology headquarters, large health systems, and enterprise software companies means senior staff roles are posted year-round rather than in seasonal clusters.
Which California cities have the most senior staff data engineer jobs?
Santa Clara, San Francisco, and Sunnyvale have the most senior staff data engineer openings in California. The Bay Area drives the largest share because of the concentration of technology headquarters and cloud platform companies based there, while Los Angeles reflects growth in entertainment technology and fintech, and San Diego's presence is anchored by biotech and defense-adjacent data infrastructure employers.
Are there remote senior staff data engineer jobs in California?
Yes, and more than most fields. About 90% of senior staff data engineer openings tied to California are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-but-asynchronous nature of senior data engineering work. Architecture review, pipeline design, and cross-team technical leadership are the functions most commonly performed fully remotely, while on-site expectations tend to apply during initial ramp-up or for embedded product team models.
How can I get hired as a senior staff data engineer in California with little or no experience?
The most realistic entry path is through an associate or junior data engineer role at a California technology company or large enterprise, then building toward staff-level scope over time. Companies like Salesforce, Apple, and major California health systems run structured new-graduate and rotational engineering programs that develop data engineering skills from the ground up. Moving from adjacent roles such as data analyst, analytics engineer, or software engineer with pipeline exposure is a common lateral path. Building a public portfolio of data infrastructure projects and earning a cloud certification on GCP, AWS, or Azure gives candidates a concrete edge when competing for junior roles at California employers.
Where can I find and apply to senior staff data engineer jobs in California?
You can find and apply to senior staff data engineer jobs in California on Migrate Mate, which lists current California openings in one place. Find the roles that fit your experience and apply directly to each one.
See All 14 Senior Staff Data Engineer Jobs in California
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