Come join Under Armour and create software to power the future of connected fitness. We’re serious about individual growth and athlete achievement, and we’d like you to join us to build real products that will help millions of people improve their lives through better health & fitness. You will learn, grow, and play in an environment that focuses on results and delivery, all backed by one of the strongest consumer brands in history.
We're looking to add a new Senior Data Engineer to our Foundational Services organization, which powers an ecosystem of over 200M athletes, fitness enthusiasts, and people pursuing a healthy lifestyle. In this role, you will partner with our data science, mobile app/desktop engineering teams and the marketing team to define and build the world’s largest digital health platform.
You will design and evaluate various techniques to handle and process large-volume of semi-structured and structured data. You will build and maintain data pipelines, create service layer APIs to serve data, as well as drive data discovery and access. You will work closely with the team to create new engineering processes as necessary, champion standard methodologies, and promote overall operational excellence. You will build working relationships to communicate within and across teams to solve problems.
You should apply for this role if you:
Want to make a real-world impact
Are ready to take ownership and responsibility for your work
Are interested in growing as both an engineer and a teammate
Like learning new programming languages
Have a solid understanding of both computer science fundamentals and what it takes to build internet-scale applications. You likely have a degree in Computer Science or similar field, or equivalent real-world experience.
Knowledge of design patterns and software engineering best practices
Advanced programming in a scripting environment(e.g. Python) or ETL development experience
Familiarity with AWS and/or other cloud computing platforms
Have experience working at scale utilizing microservices architectures
Experience with a scalable messaging system(e.g Kafka, SQS, Kinesis) and different data serialization(e.g.json, protobuf, avro)
Want to design and evaluate various techniques to handle large-volume of semi-structured and structured datasets.