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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Cloud/AI - **Company:** Vertiv Corporation - **Location:** Westerville, OH, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Batch Processing, Cloud Computing, Data Architecture, Information Engineering, Data Files, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Database Design, Apache Hadoop, Selenium, SQL Databases, Data Streaming, Data Processing, Google Cloud, Data Ingestion, Apache Spark, Generative AI, Microsoft Fabric, Pytest, Pyspark, Storage Technologies, Information Technology, Luigi, AWS Glue, Data Management, Data Pipelines, Amazon Redshift - **Published:** August 10, 2026 - **Apply:** https://www.jofdav.com/jobs/59175119-data-engineer-cloud-ai ## About the Role * Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 5 years of experience in data engineering, data pipeline development, and ETL processes. * Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift. * Experience with Python for data core modernization and data ingestion. * Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue * Experience with data engineering, data warehousing, and ETL processes. * Strong proficiency in SQL and database design principles * Excellent communication, creativity, and problem-solving skills * Preferred Requirements: + Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) + Understanding of emerging technologies (such as Generative AI) and advanced data architectures (i.e.: Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.) + Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes + Experience with testing frameworks and tools, such as PyTest, Unittest, or Selenium + Experience designing and implementing reporting and visualization for unstructured and structured data sets. + Experience with batch processing and real-time streaming ingestions. + Certifications or degrees in data engineering, computer science, or related fields The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion., No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. ## Description As a Data Engineer - Cloud/Gen AI, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is accurate, consistent, complete, and accessible. Ultimately, you will collaborate with various teams to develop and enhance data solutions that meet the needs of customers and users., * Design, build, and maintain scalable and robust data pipelines and architectures. * Perform data extraction, cleansing, standardization, and transformation. * Ensure data is accurate, consistent, and accessible. * Collaborate with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations. * Troubleshoot and resolve data issues and defects. * Research new data technologies and tools to enhance skills and improve data quality. ## 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) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [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) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)