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Remote Data Infrastructure Jobs in California (NOW HIRING)

Mento

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We are a US-based, remote-first company, backed by leading VCs and angel investors. About The Role We\'re looking for our first Data Engineer to build the data infrastructure that powers insights and ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... infrastructure * Build tools for automating repetitive asks so that bandwidth can be freed for ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Stay current with AI data infrastructure research and emerging open-source tools. Required ...

W3 Global Sourcing

Lead Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

... Remote US-based candidates only|Visa sponsorship is not available. We are representing an early-stage technology venture building AI-powered workflow, governance, and data infrastructure for a large ...

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Stay current with AI data infrastructure research and emerging open-source tools. Required ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Data at Brex The Data organization develops insights, models, and data infrastructure for teams ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ...

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Remote Data Infrastructure information

What are the key skills and qualifications needed to thrive as a Remote Data Infrastructure Engineer, and why are they important?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
What are the most commonly searched types of Data Infrastructure jobs in California? The most popular types of Data Infrastructure jobs in California are:
What are popular job titles related to Remote Data Infrastructure jobs in California? For Remote Data Infrastructure jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Infrastructure jobs in California look for? The top searched job categories for Remote Data Infrastructure jobs in California are:
What cities in California are hiring for Remote Data Infrastructure jobs? Cities in California with the most Remote Data Infrastructure job openings:
Remote Data Infrastructure jobs near you
Data Infrastructure Software Engineer

Data Infrastructure Software Engineer

NextSense

Mountain View, CA • On-site, Remote

$136K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Company Description

About NextSense:

NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.

Job Description

NextSense is a cloud based engineering organization with all of our data infrastructure in Google Cloud (GCP) leveraging BigQuery, Compute Engine and Kubernetes.  This is a great opportunity to come in and help us redesign or rework our existing data infrastructure.

Responsibilities:

  • Understand the data needs of different engineering teams at NextSense, including HWE, Clinical and Research
  • Understand end to end data interactions and dependencies across our existing data pipelines and data transformation and how they impact business decisions.
  • Design best practices for big data processing, data modeling and warehouse development for NextSense.
  • Build integration and automation across different systems to scale data operations and increase efficiency.
     
Qualifications
  • 3+ years in building a data warehouse and data pipelines. Or, 5+ years in data intensive engineering roles.
  • Solid understanding of databases (relational, key/value, document, columnar, olap, graph)
  • Strong SWE principles and OO experience
  • Experience with GCP, Kubernetes 
  • Experience building and running in production (24x7 environments) distributed large-scale systems
  • Experience in working on Cloud Distributed Storage/Databases and/or data technologies that power analytics (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc. or similar technologies)
  • Experience in Building Micro services & Cloud Platforms on AWS, Azure etc
  • Experience with open source project management and governance
  • Hands on experience developing distributed systems, databases, or other large scale data systems.
Additional Information

Benefits:

Our careers benefits include but are not limited to the following:

  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:

Preferred: San Francisco Bay area (open to discussing remote geographic areas) 

Employment Eligibility:

At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future.  Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.  

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