With over 50 million users, Runkeeper has an incredible wealth of data about fitness training, setting goals, and how people use technology to promote their health. Managing and making sense of all that data is an extraordinary challenge and opportunity.

The Platforms team is looking for a Data Engineer to help scale our production and analytics databases to handle this massive volume. If you love data, enjoy exploring new database technologies, have a relentless attention to detail, and are excited about delivering new data-driven functionality to our Marketing, Ad, and Commerce teams, come join our team!

Here's what the role entails:

• Design, implement, maintain, and QA ETL jobs
• Maintain and scale our ETL tooling process to ensure flexibility for future enhancements
• Ensure data integrity and accuracy within our various data pipelines
• Tune and implement improvements—in terms of quality, reliability, scalability, or data access—for our production data stores
• Spearheading the definition and implementation of data archiving protocols with Platforms team members
• Working with Product, Marketing, and eCommerce teams to build out necessary data warehousing infrastructure
• Bring an analytical mindset to every conversation across the company

Requirements:

• Ability to handle large sets of data (i.e. hundreds of millions of rows of data) and make it performant
• Experience with Data Warehousing principles and practices
• Comfortability with experimenting with new technology to process data more efficiently
• Experience working with relational databases
• Experience testing data integrity with automation
• Interest in AWS services
• Nice to have:
• Experience with AWS services (e.g. lambda, S3)
• Experience with Java and/or Python
• Exposure to NoSQL data stores (e.g. Couchdb, DynamoDB, etc)
• Bonus:
• Experience with Snowflake Cloud Data Warehouse
• Exposure to CI/CD for software systems