Remote AI Data Engineer: Build Petabyte-Scale Pipelines

Bright Vision Technologies

Framingham (MA)

On-site

USD 100,000 - 150,000

Full time

4 days ago
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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 emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across modalities.

The ideal candidate has 10+ years of data engineering experience, strong Python and JVM capabilities, and deep experience with Spark, Ray, or Beam, plus petabyte-scale storage expertise and solid CI/CD practices.

Qualifications

  • BS or MS in Computer Science or related field.
  • 10+ years of data engineering experience supporting ML/AI workloads.
  • Strong Python and at least one JVM or systems language.
  • Experience with modern data processing frameworks (Spark, Ray, Beam).
  • Experience operating petabyte-scale storage and pipelines.
  • Understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Experience with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices (testing, CI/CD, code review).
  • Excellent communication and cross-functional collaboration skills.

Responsibilities

  • Design and operate large-scale data pipelines for AI training and evaluation.
  • Build ingestion systems for text, image, audio, video, and structured data.
  • Implement data cleaning, deduplication, and quality assurance at scale.
  • Develop dataset versioning, lineage, and provenance tracking.
  • Build high-throughput data loading to maximize GPU utilization.
  • Implement labeling workflows and human-in-the-loop data improvement.
  • Design storage architectures balancing cost, throughput, and latency.
  • Create evaluation dataset pipelines with integrity and contamination controls.
  • Ensure data privacy, redaction, and consent enforcement.
  • Collaborate with ML researchers and engineers to align data systems with model needs.
  • Drive observability of data quality, drift, and pipeline health.
  • Document data systems, schemas, and procedures.

Skills

Python
Java
Spark
Ray
Beam
CI/CD
Communication

Education

Bachelor’s or Master’s in CS

Tools

Spark
Ray
Beam
CI/CD tooling

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 emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across modalities.

The ideal candidate has 10+ years of data engineering experience, strong Python and JVM capabilities, and deep experience with Spark, Ray, or Beam, plus petabyte-scale storage expertise and solid CI/CD practices.

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