Remote AI Data Engineer for Large-Scale Pipelines

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

Job summary

Bright Vision Technologies is seeking an AI Data Engineer to build and operate large-scale data systems powering AI training and evaluation pipelines.

The role blends deep data engineering with AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across modalities; candidates should have petabyte-scale experience and strong software engineering practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
• Proficient in Python and at least one JVM or systems language.
• Experience with 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.

Skills

Python

Distributed systems

Cross-functional collaboration

Java

CI/CD

Testing practices

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark

Ray

Beam

Petabyte-scale storage

Job description

Bright Vision Technologies is seeking an AI Data Engineer to build and operate large-scale data systems powering AI training and evaluation pipelines.

The role blends deep data engineering with AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across modalities; candidates should have petabyte-scale experience and strong software engineering practices.