Remote AI Data Engineer: Scale Petabyte Pipelines

Bright Vision Technologies; Aurora (IL); Remote; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Data Engineer to design, build, and operate large-scale data systems powering AI training pipelines. You will own ingestion, transformation, quality assurance, lineage, and high-throughput data delivery for multimodal workloads.

The role emphasizes deep data engineering, software fundamentals, and collaboration with AI teams across client projects. This remote position offers strong growth and impact.

Qualifications

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

Responsibilities

• Build and operate petabyte-scale data systems for AI training.
• Ensure ingestion, transformation, quality assurance, and data lineage.
• Deliver high-throughput data to training jobs across diverse modalities.
• Collaborate with AI/ML teams to optimize pipelines and data infrastructure.

Skills

Python

Java

Spark

Ray

Beam

CI/CD

Distributed systems

Data modeling

Data lineage

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Petabyte-scale storage

Job description

Bright Vision Technologies is seeking an AI Data Engineer to design, build, and operate large-scale data systems powering AI training pipelines. You will own ingestion, transformation, quality assurance, lineage, and high-throughput data delivery for multimodal workloads.

The role emphasizes deep data engineering, software fundamentals, and collaboration with AI teams across client projects. This remote position offers strong growth and impact.