Data Engineering Specialist - AI

Bright Vision Technologies; Fishers (IN); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Data Engineering Specialist - AI to design, build, and operate large-scale data pipelines powering modern AI training and evaluation workloads.

The role emphasizes ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across multimodal datasets. Ideal candidates have 6+ years in data engineering and strong software engineering fundamentals.

Qualifications

• 6+ years of data engineering experience, with ML/AI workloads.
• Strong Python and a JVM language.
• Experience with Spark, Ray, or Beam.
• Experience operating petabyte-scale storage and pipelines.

Responsibilities

• Build and operate large-scale data systems powering AI training and evaluation pipelines.
• Ensure data ingestion, transformation, quality, and lineage support high-throughput AI workloads.
• Collaborate with ML teams to optimize data delivery for model training.

Skills

Python

JVM language

Spark

Ray

Beam

Data pipelines

Petabyte-scale storage

Tools

Spark

Ray

Beam

Petabyte-scale storage

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Data Engineering Specialist - AI

Location: 100% Remote Role

Position Type: Full-time (Only W2 candidates)

Salary Range: $100,000-$150,000 Annually

Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are seeking an Data Engineering Specialist - AI to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.

Required Qualifications

• 6+ 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.

Preferred Qualifications

• 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.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.