Remote ML Data Engineer — Petabyte-Scale Pipelines

Bright Vision Technologies; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking a Machine Learning Data Engineer to design and operate large-scale data systems powering AI training pipelines. The role emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across modalities. Ideal candidates will have experience with petabyte-scale data platforms and strong software engineering practices.

350-500? Example text placeholders removed to ensure accuracy; please replace with actual content if

Qualifications

• Bachelor’s or Master’s degree in CS or related field.
• 6+ years of data engineering experience, with ML/AI workloads.
• Strong Python and at least one JVM or systems language.
• Experience with Spark, Ray, or Beam.
• Hands-on experience with petabyte-scale storage and pipelines.
• Understanding of distributed systems, data modeling, and storage formats.
• Experience with dataset versioning, lineage, and reproducibility for ML workflows.
• Experience 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

Python

JVM language

Distributed systems

Data modeling

Data pipelines

CI/CD

Code review

Testing

Communication

Education

Bachelor’s or Master’s in CS or related

Tools

Spark

Ray

Beam

Job description

Bright Vision Technologies is seeking a Machine Learning Data Engineer to design and operate large-scale data systems powering AI training pipelines. The role emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across modalities. Ideal candidates will have experience with petabyte-scale data platforms and strong software engineering practices.

350-500? Example text placeholders removed to ensure accuracy; please replace with actual content if