Remote AI Data Engineer: Scale Data Pipelines

Bright Vision Technologies; Rochester Hills (MI); Remote; USD 77,000 - 104,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Data Engineer to design and operate large-scale data systems that support AI training workloads. You will handle ingestion, transformation, quality, lineage, and high-throughput data delivery across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong Python skills, and experience with Spark/Ray/Beam, plus familiarity with petabyte-scale storage and distributed systems.

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.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Build and operate large-scale data systems powering AI training pipelines.
• Ensure data ingestion, transformation, quality, lineage, and high-throughput delivery to training jobs.
• Collaborate with AI/ML teams to optimize data infrastructure and model training efficiency.

Skills

Python programming

JVM language

Data processing frameworks

Petabyte storage

Distributed systems

Data modeling

Dataset versioning

Data lineage

ML workflow reproducibility

CI/CD

Testing

Communication

Education

Bachelor’s or Master’s in Computer Science

Job description

Bright Vision Technologies is seeking an AI Data Engineer to design and operate large-scale data systems that support AI training workloads. You will handle ingestion, transformation, quality, lineage, and high-throughput data delivery across diverse modalities.

The ideal candidate has 6+ years of data engineering experience, strong Python skills, and experience with Spark/Ray/Beam, plus familiarity with petabyte-scale storage and distributed systems.