UPS · 11 hours ago
Data Engineer
US - UPS SUPPLY CHAIN SOLUTIONS (GAAPR)
Full-time
Onsite
New Grad, Entry LevelUPS is a Fortune Global 500 organization seeking a Data Engineer to develop data pipelines supporting Data Science and Machine Learning practices. The role involves integrating data from various sources, performing ETL conversions, and assisting with data asset creation for analytics.
LogisticsMessagingTransportation
No H1B
U.S. Citizen Only
Responsibilities
Contributes to data engineering projects and builds solutions by leveraging a foundational knowledge in software/application development, literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines
Collaborates effectively, produces data engineering documentation, gathers requirements, organizes data and defines the scope of a project
Performs data analysis and presents findings to the stakeholders to support business needs
Participates in the integration of data for data engineering projects
Understands and utilizes analytic reporting tools and technologies
Assists with data engineering maintenance and support
Assists in defining the data interconnections between organizations’ operational and business functions
Assists in backup and recovery and utilizes technology solutions to perform POC analysis
Qualification
Required
Understanding of database systems and data warehousing solutions
Understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility
Understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, insights and customer feedback, data security, data regulations, and compliance
Contributes to the following: Building a data platform, ensuring data is secure in motion and at rest, automating data compliance and auditing, data warehousing solutions for scalable analytics
Basic knowledge of algorithms and data structures to assist in understanding the big picture of the organization's overall data function. Knowledge in data filtering and data optimization
Familiarity with a Cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Knowledge of Google Cloud Technologies is preferred
Understanding ETL tools capabilities. Ability to pull data from various sources, perform a load of the transformed data into a database or business intelligence platform
Familiarity with Machine learning algorithms which help data scientists make predictions based on current and historical data
Knowledge of algorithms and data structures with the ability to organize the data for reporting, analytics, and data mining and perform data filtering and data optimization
Ability to build data APIs to enable data scientists and business intelligence analysts to query the data
Strong knowledge of SQL and ability to code using programming language used for statistical analysis and modeling such as Python/Java/C++
Understanding the basics of distributed systems
A Bachelor's degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer
Preferred
Knowledge of Google Cloud Technologies
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
Founded in 1907
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
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