Skip to main content
ResumeKart
← Back to Jobs

ML Data Engineer

Bright Vision Technologies•United States•🌍 Remote
Full-time7-15
$100K - $150K
per year
👁️ 0 views•📝 0 applications•Posted 10/28/2026•Expires 12/27/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More ML Data Engineer roles in United States — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.

Job Description

ML 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: ML Data Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 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 ML 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 practic

Required Skills

PythonSparkRayBeamdata engineeringdistributed systemsdata modelingstorage formatsdataset versioninglineagereproducibility

Partner picks for ML Data Engineer in United States

Matched to the skills this page calls for and the candidate's location.

Partner
  • edXVerified partner
    Partner course provider

    Courses and programmes from universities and institutions worldwide.

    covers python
  • UdemyVerified partner
    Partner course provider

    A marketplace of instructor-created courses across technology, business and creative skills.

    covers python
  • Partner course provider

    University and industry courses, professional certificates and online degrees.

    covers python

Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns

Prepare to Win This Role

Everything you need to ace the interview and negotiate top-of-band compensation.

The best-paying roles in your field. Every week. Free.

Get job alerts and salary insights in your inbox

We respect your privacy. Unsubscribe anytime with one click.