Senior Data Engineer

United Parcel Service of America, Inc. • $100K — $130K *
Atlanta, GA 30349In-Person
Information Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Proficient in programming languages for statistical analysis: Python, Java, Scala, C++.
  • Strong database and data warehousing expertise.
  • Knowledgeable in data lifecycle stages and data interconnections.
  • Familiar with cloud platforms like GCP, AWS, or Azure.
  • Experience with Databricks notebooks utilizing Python and SQL for data transformation.
  • Effective communication skills to simplify complex data concepts for diverse audiences.
  • Bachelor's degree in a related field or equivalent experience.

Responsibilities

  • Supervise and support data engineering projects alongside software development.
  • Create and maintain comprehensive data engineering documentation.
  • Gather project requirements and oversee data integration.
  • Advise on analytic reporting tools and emerging technologies.
  • Ensure ongoing maintenance and support of data engineering solutions.
  • Develop implementation strategies for backup and recovery solutions.
  • Construct data APIs for analytics and business intelligence teams.

Benefits

  • Collaborative and innovative work culture.
  • Access to training and personal development opportunities.
  • Engagement with a diverse and talented team.
  • Opportunities for career growth within a Fortune Global 500 company.
  • Commitment to a workplace free of discrimination or harassment.
Full Job Description
Job Description:
SENIOR DATA ENGINEER

JOB SUMMARY
This position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices. This position participates in and supports the integration of data from various data sources, both internal and external. This position performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to create reusable and reproducible data assets. This position contributes to the data science community working through analytical model feature tuning.

RESPONSIBILITIES
  • Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development.
  • Develops and delivers data engineering documentation.
  • Gathers requirements, defines the scope, and performs the integration of data for data engineering projects.
  • Recommends analytic reporting products/tools and supports the adoption of emerging technology.
  • Performs data engineering maintenance and support.
  • Provides the implementation strategy and executes backup, recovery, and technology solutions to perform proof of concept (POC) analysis.
  • Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform.
  • Builds data APIs to enable data scientists and business intelligence analysts to query the data.
  • Codes using programming language used for statistical analysis and modeling such as Python/Java/Scala/C++.


QUALIFICATIONS
  • Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines.
  • Strong understanding of database systems and data warehousing solutions.
  • Strong understanding of the data interconnections between organizations' operational and business functions.
  • Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility
  • Strong 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.
  • Strong knowledge of algorithms and data structures, as well as data filtering and data optimization.
  • Strong understanding of analytic reporting technologies and environments (e.g., PBI,.)
  • Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages.
  • Proficiency in Databricks notebooks using Python, SQL, and PySpark for data transformation, modeling, and analysis.
  • Strong communication and storytelling skills to present complex data concepts in clear, non-technical language.
  • Experience working with cross-functional teams (product, operations, finance, marketing, compliance).
  • Understanding of business KPIs, metrics, and domain-specific data models to ensure data solutions support decision-making.
  • Requirements gathering and stakeholder management to ensure end pipelines meet user needs.
  • Knowledge of Unity Catalog for centralized governance, lineage, permissions, and secure data sharing.
  • Understanding of data versioning, ACID transactions, and time travel using Delta Lake.
  • Understanding of Machine learning algorithms which help data scientists make predictions based on current and historical data.
  • Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders.
  • 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.
  • Bachelor's degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.


  • This job is a grade 20I
  • Must be currently located in the same geographic location as the job or willing to relocate yourself - Required


Employee Type:
Permanent

About United Parcel Service of America, Inc.

United Parcel Service of America, Inc. Careers

There has never been a better time to join the global team at United Parcel Service of America, Inc. (UPS)—a leader in logistics and package delivery services.

Work You’ll Do

Join UPS’s industry-leading team to help drive innovation and operational excellence across one of the world’s most essential service networks. Transform logistics and global commerce with the best minds at UPS, leveraging cutting-edge technology and deep industry expertise. Lead from a unique position in the marketplace, at the intersection of technology, operational excellence, and customer service. Work with a global team of business and logistics experts to help clients and communities achieve their business goals and meet delivery needs. Collaborate with a dedicated team of over 480,000 professionals worldwide, making UPS not just the biggest, but also one of the most trusted names in the industry.

Introducing the UPS Professional Growth and Development Program

The program is designed to foster leadership and professional skills, helping employees master their career paths within UPS.

Do Innovative Work

Join one of the largest and most respected logistics networks in the world—480,000+ dedicated professionals at the intersection of technology, service, and innovation.

Drive Innovation and Growth

Deliver targeted solutions through a depth and breadth of logistics experience and innovation that’s second to none.

Be Part of a Great Team

Engage in a wide range of job opportunities utilizing UPS technology and harness the unparalleled capabilities, global scale, and comprehensive logistics strategy.

Future-proof Your Career

Advance your career with limitless opportunities supported by unmatched training, development, and certification programs.

Explore

Discover how UPS is moving towards smarter logistics solutions: [With Advanced Tracking Systems] UPS enhances package tracking capabilities, ensuring timely deliveries and customer satisfaction. Logistics management solutions position UPS as a leader in global commerce, providing robust tools essential for modern logistics needs.

The UPS Commitment to Diversity and Inclusion

UPS’s commitment to diversity, equity, and inclusion is integral to building a stronger, more creative team that reflects the global communities it serves. Through diversity training and leadership development, UPS fosters an inclusive environment where all employees can thrive.

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Learn more about United Parcel Service of America, Inc.
Industry
Transportation
* Ladders Estimates

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