AI Data Engineer
at Bright Vision Technologies
AI Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise
Job Overview
Published
Sep 14, 2026
Expires
Dec 13, 2026
Source
Bright Vision Technologies
Region
US
Type
Remote / Work From Home
Category
WFH
Job Description
AI Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
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 (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
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.
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.
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 . Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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.
Originally posted on Himalayas
Remote Work Guidelines & Career Insights
Practical advice for succeeding as a remote professional in this role.
Asynchronous Productivity
High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.
Home Office & Security
Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.
Resume & Application Tips
Tailor your CV specifically to the requirements of AI Data Engineer. Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.
Virtual Interview Prep
Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.
Frequently Asked Questions
Key answers about the application process, remote setup, and compensation for AI Data Engineer.
Is the AI Data Engineer role 100% remote?+
Yes, this is a fully remote work-from-home position with Bright Vision Technologies. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.
What qualifications and experience are needed for AI Data Engineer?+
Applicants are typically evaluated on relevant industry background, core capabilities, and self-management. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.
Who is eligible to apply for this job?+
This remote opening welcomes applications from US and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by Bright Vision Technologies.
What is the salary and benefits package for AI Data Engineer?+
The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.
How do I apply and what should I prepare for the interview?+
Click the "Apply Now" button on this page to visit Bright Vision Technologies's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.
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