> Markdown version of [/jobs/ext/3826231-data-engineering-specialist-ai](https://www.wearedevelopers.com/jobs/ext/3826231-data-engineering-specialist-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Specialist - AI - **Company:** Bright Vision Technologies - **Location:** Nashville, TN, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Information Engineering, Data Infrastructure, Data Systems, Java Virtual Machine (JVM), Python (Programming Language), Data Processing, Evaluation Pipelines, Apache Spark, Integration Frameworks, Free and Open-Source Software - **Published:** October 18, 2026 - **Apply:** https://www.careerjet.com/jobad/us161476495705bc66055b380355607b27 ## About the Role * 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., * 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. ## Description 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.