Vertiv · 5 hours ago
Data Engineer - Cloud/AI
Westerville, OH
Full-time
Onsite
Senior Level
5+ years expVertiv is a global critical infrastructure and data center technology company, and they are seeking a Data Engineer - Cloud/AI to design, build, and maintain scalable data pipelines and architectures. The role involves collaborating with data scientists and product teams to ensure data accuracy and accessibility while troubleshooting data issues and researching new technologies.
Data CenterInformation TechnologyIT InfrastructureTelecommunications
No H1B
U.S. Citizen Only
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
Qualification
Required
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
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
Company
Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.24BKey Investors
Starboard ValuePlatinum Equity
2022-10-20Post Ipo Equity
2020-02-10Post Ipo Equity· $1.24B
2020-02-10IPO
Leadership Team
Giordano Albertazzi
Chief Executive Officer
Peter Lambrecht
Vice President Sales EMEA
Recent News
2026-02-05
2026-02-03
2026-01-25
Company data provided by crunchbase