Data Engineering Specialist – AI

Bright Vision Technologies•Alpharetta, GA
•$100,000 - $150,000•Remote

About The Position

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The Data Engineering Specialist – AI will build and operate large-scale data systems that power AI training and evaluation pipelines. The role combines data engineering expertise with an understanding of AI workloads, with a focus on data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse modalities. The role requires experience operating petabyte-scale data systems, strong software engineering fundamentals, and an understanding of how data infrastructure choices affect model quality and training efficiency. This is a 100% remote, full-time W-2 position. The stated annual salary range is $100,000–$150,000. The employer encourages applications from U.S. citizens, Green Card holders, EAD holders, and candidates seeking an H-1B transfer; it cannot sponsor new H-1B visa petitions.

Requirements

  • At least 6 years of data engineering experience, including 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 software engineering fundamentals and understanding of how data infrastructure choices affect model quality and training efficiency.

Nice To Haves

  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

Responsibilities

  • Build and operate large-scale data systems for AI training and evaluation pipelines.
  • Manage data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse modalities.
  • Support AI workloads and data infrastructure at petabyte scale.
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