Top 300 Data engineer Jobs in San Francisco, Ca

Staff Software Engineer, Data Platform (FedRAMP)
Okta —San Francisco, CA
- $194,000 - $267,000 a year
- Hybrid work
- Java
- Mentoring
- Fair chance
Quick Apply
Sr. Data Engineer
Horizontal Talent —San Francisco, CA
- Hybrid work
- DevOps
- Java
- 8 years
2d
ASSOCIATE, DATA ENGINEER
Cresset Capital —San Francisco, CA
- $85,000 - $110,000 a year
- Computer Science
- Mid-level
- AWS
- Health savings account
- Disability insurance
Quick Apply
Data Engineer
DocuSign —San Francisco, CA
- $132,700 - $206,800 a year
- Hybrid work
- Computer Science
- 5 years
- Mid-level
- Paid parental leave
- Paid holidays
8d
Data Engineer, Safeguards
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- Mid-level
- Office
- 8 years
- Parental leave
- Flexible schedule
Data Engineer
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Data Engineer
Air Apps —San Francisco, CA
- $111,000 - $196,000 a year
- Full-time
- Mid-level
- SQL
- 4 years
- Disability insurance
- Health insurance
Data Engineer
Neon Redwood —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Health insurance
Data Engineer, GCS Data Science
Google —San Francisco, CA
- $106,000 - $151,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
1d
Data Engineer
ReadyOn —San Francisco, CA
- $140,000 - $230,000 a year
- Full-time
- 5 years
- System design
- Mid-level
Quick Apply
Senior Data Engineer [Remote-US]
Quanata —San Francisco, CA
- $215,000 - $300,000 a year
- Online Application
- Remote
- 6 years
- SQL
- Analysis skills
- Paid parental leave
- Health insurance
Quick Apply
Data Engineer
Fieldwire —San Francisco, CA
- $120,000 - $150,000 a year
- Remote
- Mid-level
- 2 years
- Communication skills
Quick Apply
8d
Data Engineer
Regard —San Francisco, CA
- $160,000 - $190,000 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Data Analytics Engineer
Parafin —San Francisco, CA
- $180,000 - $220,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Analysis skills
- Commuter assistance
- Paid parental leave
7d
Data Engineer
Candid Health —San Francisco, CA
- $165,000 - $205,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance
Data Engineer
Stuut —San Francisco, CA
- $135,000 - $190,000 a year
- Full-time
- System design
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Senior Data Engineer, MLOps [Remote-US]
Quanata —San Francisco, CA
- $213,000 - $300,000 a year
- Online Application
- Remote
- Java
- Bachelor's degree
- Travel
- Paid parental leave
- Health insurance
Quick Apply
Platform Data Engineer
Neon Redwood —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
Quick Apply
Data Engineer - Multimodal Systems
Zyphra —San Francisco, CA
- Full-time
- Computer Science
- Master's degree
- Senior level
- Health insurance
- Dental insurance

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Staff Software Engineer, Data Platform (FedRAMP)

Okta -
San Francisco, CA

Quick Apply

Job Details

$194,000 - $267,000 a year

Qualifications

Performance tuning
Software engineering
Incident management
Data quality assurance
System performance optimization
Public Cloud
Scalable systems
Data quality management
SRE
Scalability
Cloud solution engineering
Distributed computing
System tuning
Multithreading

Full Job Description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

Streaming analytics
Interactive end-user reporting
Data and ML platform for Okta to scale
Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:

Design, implement and own data-intensive, high-performance, scalable platform components
Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
Conduct and participate in design reviews, code reviews, analysis, and performance tuning
Coach and mentor engineers to help scale up the engineering organization
Debug production issues across services and multiple levels of the stack

Required Knowledge, Skills, and Abilities:

8+ years of experience in object-oriented language, preferably Java
Hands-on experience using a cloud-based distributed computing technologies including
- Messaging systems such as Kinesis, Kafka
- Data processing systems like Flink, Spark, Beam
- Storage & Compute systems such as Snowflake, Hadoop
- Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos

Experience in developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection and memory management
Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Nice to have

Maintained security, encryption, identity management, or authentication infrastructure
Leveraged major public cloud providers to build mission-critical, high volume services
Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
Experience developing Kubernetes based services on AWS Stack

Additional requirements:

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

#LI-SM1

#LI-Hybrid

P24508_3376753

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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Refine Your Search

data engineer jobs in san francisco, ca

Staff Software Engineer, Data Platform (FedRAMP)

Sr. Data Engineer

ASSOCIATE, DATA ENGINEER

Data Engineer

Data Engineer, Safeguards

Data Engineer

Data Engineer

Data Engineer

Data Engineer, GCS Data Science

Data Engineer

Senior Data Engineer [Remote-US]

Data Engineer

Data Engineer

Data Analytics Engineer

Data Engineer

Data Engineer

Senior Data Engineer, MLOps [Remote-US]

Platform Data Engineer

Data Engineer

Data Engineer - Multimodal Systems

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