AI Data Engineer — Remote, Petabyte-Scale Pipelines

Bright Vision Technologies; Coppell (TX); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

100% remote role

Equal Opportunity Employer

Job summary

Bright Vision Technologies seeks a Data Engineering Specialist - AI to design and operate large-scale data systems that power AI training and evaluation pipelines. You will own ingestion, transformation, QA, lineage, and fast data delivery across multimodal training workloads.

The ideal candidate has 6+ years of data engineering experience, strong Python skills, and hands-on experience with petabyte-scale storage and modern data frameworks. This is a 100% remote, full-time role supporting U.S.

Qualifications

• 6+ years of data engineering experience
• 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

Responsibilities

• Build and operate large-scale data systems that power modern AI training and evaluation pipelines.
• Focus on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across modalities.
• Apply strong software engineering fundamentals to data infrastructure decisions and model training efficiency.
• Collaborate with ML teams to ensure data quality and reliability for AI workloads

Skills

Data engineering

Python

JVM language

Spark / Ray / Beam

Job description

Bright Vision Technologies seeks a Data Engineering Specialist - AI to design and operate large-scale data systems that power AI training and evaluation pipelines. You will own ingestion, transformation, QA, lineage, and fast data delivery across multimodal training workloads.

The ideal candidate has 6+ years of data engineering experience, strong Python skills, and hands-on experience with petabyte-scale storage and modern data frameworks. This is a 100% remote, full-time role supporting U.S.