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Job Summary JOB 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. This position will be based onsite at Vertiv's Westerville, OH - HQ location. Responsibilities 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. Requirements 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 About Us The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion. OUR STRATEGIC PRIORITIES High-Performance Culture Customer Focus Operational Excellence Innovation Financial Strength VERTIV BEHAVIORS Own it Act with urgency Foster a customer-first mindset Think big and execute Lead by example Drive continuous improvement Learn and seek out development Promote transparent & open communication About Vertiv Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. Work Authorization 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. Equal Opportunity Employer Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.