Under Armour

Senior Data Engineer

Under Armour

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $148,845 - $188,089 per year

Job Level

Senior

Tech Stack

AirflowAWSPythonSQL

About the role

  • Work across teams to build pipelines, services, and tools that enable UA teammates and integrated systems with the data, information, and knowledge to fulfill Under Armour’s mission
  • Design and build data products and data flows for the continued expansion of the data platform mission; deployed code is performant, well-styled, validated, and documented
  • Implement data platform architectural designs/approaches
  • Instrument and monitor the systems and products of the data platform
  • Design, build, integrate, and maintain data ingestion pipelines from 3rd Party source systems and/or data providers
  • Design, build, integrate, and maintain data ingestion pipelines from offline sources, to include various 3rd Party services
  • Design and integrate data replication solutions from various UA enterprise or other back end services to the Data Platform
  • Support data catalog initiatives and adoption across the Data Platform user community
  • Support data cleansing and data quality initiatives across the Data Platform for its foundational data
  • Support identity resolution initiatives across the Data Platform
  • Lead one or two medium or large projects at a time
  • Other data engineering duties as assigned

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or in closely related technical field plus 5 years of progressively responsible data and/or software engineering experience OR master's degree in Computer Science, Information Systems, or in closely related technical field plus 3 years of progressively responsible data and/or software engineering experience
  • 2 years of experience with Data engineering fundamentals (design patterns, common practices)
  • 2 years of experience building high volume data products and services
  • 2 years of experience with Security and privacy 'by design’ frameworks
  • 2 years of experience with Data science lifecycle
  • 2 years of programming in SQL
  • 2 years of programming in Python
  • 2 years of experience with Snowflake
  • Demonstrated knowledge of Job Orchestration Tools such as Airflow or similar tools
  • Demonstrated knowledge of AWS data-related products such as EMR, Glue, S3, and/or Lambda
  • Experience with data and/or software engineering with progressive responsibility
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