> Markdown version of [/jobs/ext/2616926-data-engineer-genai-data-systems](https://www.wearedevelopers.com/jobs/ext/2616926-data-engineer-genai-data-systems). 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 Engineer, GenAI Data Systems - **Company:** Insight Global - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $156,000.0 - $218,400.0 - **Contract:** Permanent contract - **Skills:** Training Data, HTML, JavaScript (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Machine Learning, Standard Sql, TypeScript, Workflow Management Systems, Data Logging, Cloud Platform System, Large Language Models, Apache Spark, Git, Data Lakes, Information Technology, Front End Software Development, Software Version Control, Data Pipelines, Databricks - **Published:** August 14, 2026 - **Apply:** https://dejobs.org/x/x/7601C430DDEB4589828CF56AD525DFDF/job/ ## About the Role * Bachelor's Degree in Computer Science or related engineering field, or equivalent experience. * 4+ years of professional experience in data engineering or a closely related field. * Experience designing, building, and operating production ETL/ELT pipelines for large, complex datasets. * Strong SQL and Python proficiency for data pipelines, automation, and production software. * Familiarity with CI/CD, testing frameworks, and version control (e.g., Git). * Experience with workflow orchestration (e.g., Airflow, Dagster, or Databricks Jobs/Lakeflow). * Demonstrated experience designing and maintaining data models, data pipelines, and databases (relational and/or lakehouse/warehouse). * Experience designing and operating high-volume logging or telemetry systems, with a focus on efficiency and monitoring. * Experience building and maintaining dashboards, reports, and alerting, and keeping metric definitions accurate over time. * Hands-on experience with Databricks, Spark, Delta Lake, or similar lakehouse/big-data platforms. * Experience with a major cloud platform (AWS, Azure, or GCP) and large-scale storage systems. * Proficiency using AI tools for coding and data tasks, paired with strong first-principles reasoning about design, coding, and datasets - 8+ years of experience in data engineering or analytics engineering. * Experience building data pipelines specifically for annotation projects running in annotation platforms (human-in-the-loop / labeling workflows). * Direct experience with SuperAnnotate. * Experience supporting LLM/VLM or other ML model training data pipelines. * Experience working with large-scale, high-volume, multi-modal datasets (e.g., text, image, video, audio), with attention to storage and processing efficiency. * Front-end or full-stack experience (JavaScript/TypeScript/HTML) for internal tooling and lightweight data/annotation UIs. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)