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Weekend Remote Storage Engineer Jobs in California

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 ... Design storage architectures balancing cost, throughput, and latency across data tiers. * Build ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Experience with Google Cloud Platform (or similar), including storage and database services (e.g ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

iXsystems

Software Engineer III (AI)

Campbell, CA · On-site +1

$140K - $160K/yr

Description TrueNAS is redefining enterprise storage by delivering proven data resilience ... This is a remote position in the United States Base Pay Range The base pay range of this position ...

Qcells

Senior Civil Engineer - Level 4

Irvine, CA · On-site +1

$145K - $170K/yr

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine ... energy storage systems (BESS) project development, along with Engineering, Procurement, and ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · Remote

Remote Summary: The main function of a network engineer is to determine user requirements and ... storage. • Strong knowledge of computer software, such as configuration management software ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · On-site +1

Remote Summary: The main function of a network engineer is to determine user requirements and ... storage. • Strong knowledge of computer software, such as configuration management software ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

Build and support a hybrid HPC-AI environment with large-scale on-prem compute/storage and elastic ... remote dev, containerization, MLOps workflows). What You'll Bring Essential * Bachelor's or ...

DocuSign

Senior Software Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... storage, including capacity planning and resilience to failures * Participate in on-call for ... Employee divides their time between in-office and remote work. Access to an office location is ...

iXsystems

Test Engineer II

Campbell, CA · On-site +1

$70K - $80K/yr

Description TrueNAS is redefining enterprise storage by delivering proven data resilience ... This is a Remote position in the US. Base Pay Range The base pay range of this position is $70,000 ...

Experian

Senior Software Engineer

Costa Mesa, CA · On-site +1

$100K - $174K/yr

This is a remote role, reporting to the Senior Director of Engineering. Responsibilities * Partner ... Experience working with AWS services such as compute, storage, database, or serverless technologies.

Experian

Senior Software Engineer

Costa Mesa, CA · Remote

$131K - $173K/yr

This is a remote role, reporting to the Senior Director of Engineering. Responsibilities * Partner ... Experience working with AWS services such as compute, storage, database, or serverless technologies.

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Weekend Remote Storage Engineer information

What is the difference between Weekend Remote Storage Engineer vs Weekend Remote Data Backup Specialist?

AspectWeekend Remote Storage EngineerWeekend Remote Data Backup Specialist
CredentialsIT certifications (e.g., CompTIA Storage+), relevant experienceData management certifications, backup and recovery training
Work EnvironmentRemote, technical support for storage systemsRemote, focus on data backup and recovery processes
Industry UsageIT, cloud services, data centersIT, data management, cloud storage
Search IntentStorage system maintenance, troubleshootingData backup, disaster recovery

The Weekend Remote Storage Engineer primarily manages and maintains storage systems, ensuring data availability and performance. In contrast, the Weekend Remote Data Backup Specialist focuses on backing up data and restoring it after failures. Both roles require technical certifications and are often found in similar industries, but their core responsibilities differ in system management versus data protection.

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

To thrive as a Weekend Remote Storage Engineer, you need a solid background in IT infrastructure, storage technologies (such as SAN, NAS, and cloud storage), and experience with troubleshooting and maintenance, typically backed by relevant certifications like CompTIA Storage+ or vendor-specific credentials. Familiarity with storage management tools (e.g., NetApp, Dell EMC, HPE), remote monitoring systems, and incident ticketing platforms is essential. Strong problem-solving skills, attention to detail, and effective communication enable you to resolve issues efficiently and collaborate with distributed teams. These capabilities are crucial for ensuring storage systems' reliability, data integrity, and seamless support during off-hours.

What are the typical responsibilities and challenges faced by a Weekend Remote Storage Engineer?

As a Weekend Remote Storage Engineer, your primary responsibilities include monitoring storage systems, performing routine maintenance, and resolving incidents or outages that occur outside regular business hours. You'll often work independently but will coordinate with on-call teams or escalate critical issues as needed. A key challenge is quickly diagnosing and resolving problems with limited direct supervision, requiring strong troubleshooting skills and familiarity with remote management tools. This role also offers the opportunity to gain experience with various storage technologies and can serve as a stepping stone to more advanced infrastructure or cloud engineering positions.

What are Weekend Remote Storage Engineers?

Weekend Remote Storage Engineers are IT professionals responsible for managing and maintaining data storage systems during weekends, typically working remotely. Their duties include monitoring storage infrastructure, troubleshooting issues, performing backups, and ensuring data integrity and availability outside standard business hours. This role is crucial for organizations that require 24/7 data access and support, especially to address any urgent storage-related problems that may arise during weekends when regular staff may not be available. Weekend Remote Storage Engineers often work with cloud storage solutions, SAN/NAS systems, and enterprise backup technologies.
What are popular job titles related to Weekend Remote Storage Engineer jobs in California? For Weekend Remote Storage Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Storage Engineer jobs in California look for? The top searched job categories for Weekend Remote Storage Engineer jobs in California are:
What cities in California are hiring for Weekend Remote Storage Engineer jobs? Cities in California with the most Weekend Remote Storage Engineer job openings:
Weekend Remote Storage Engineer jobs near you

AI Data Engineer

Bright Vision Technologies

Newark, CA • Remote

$100K - $150K/yr

Full-time

Posted 7 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled AI Data Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary: $100K - $150K
Experience: 6+ years
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to hilda@bvteck.com.
Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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