Senior Data Engineer at Aaptiv – New York, NY

Aaptiv

Aaptiv brings you high quality audio fitness classes taught by certified personal trainers and set to the perfect playlist.

About Aaptiv

Aaptiv is the fastest growing mobile fitness product on the market with a community of over 200,000 members and is backed by leading venture capital firms and top companies, including the Amazon Alexa Fund and Disney.
With a mission to empower everyone to live a healthier life, Aaptiv has transformed the way people exercise and train through its innovative audio fitness classes. Every Aaptiv class combines the guiding voice of an expert Aaptiv trainer with motivating music by top artists in every genre. Aaptiv members have unlimited, on-demand access to over 2,500 classes and structured programs across every type of exercise and a wide variety of activities, including running, strength-training, yoga, indoor cycling, meditation, and more.
Want to join Team Aaptiv? We’re looking for team members who are passionate about building a world-class fitness experience. There are over 80 million Americans who value fitness – and we believe every one of them should be an Aaptiv user.

About the Role
We’re looking for a Senior Data Engineer to help us design data access patterns, optimize integrations, and solve data problems. At Aaptiv, we thrive on building data driven solutions to help our members find workouts that best fit their lifestyles to pursue their wellness goals.
In this role, you’ll be working with a team of Data Engineers tasked with data integrations, explorations and enabling stakeholders to find actionable data in a timely manner. You will spend majority of your time working in the code whether that’s building new data pipeline yourself, pairing with team members or reviewing pull requests. The remaining time will be spent mentoring other Software Engineers to apply best practices in schema design, optimize data access patterns, and enforce data standards. You will coordinate and execute online schema changes, debug production issues and perform root cause analysis should things not work as expected.
In addition, you will work collaboratively with other data engineers, cross functional teams, analysts and stakeholders, and your input will have a large impact on how our product is built. You will thrive to explore new and better ways to do things. Last but not least, you will ensure the team is delivering high quality codes with test coverage, streamline deployment process and respond to incidents as appropriate. Candidates at this level should be comfortable in all of those facets.

What You’ll Do
  • Provide technical guidance in designing data warehouse architecture, schemas and pipelines that accurately represent our business model, and store data efficiently to enable fast application access and easy reporting.
  • Enforce data precision, implement guidelines and support software engineers in creating software that access and store data in the most optimal way while generating reliable data.
  • Coordinate with software engineers to deploy online schema changes with minimal customer impact.
  • Work closely with product managers, other data engineers and analysts to identify data gaps, brainstorm ideas, break down projects and estimate how long they will take.
  • Part of a team that’s responsible for developing of all data products, ensuring we are shipping only high quality codes that are tested thoroughly and monitored appropriately.
  • Be a champion of engineering best practices within your team. We want to build high-quality software that’s easy to understand, easy to change and works the way it’s supposed to.
Who You Are
  • 6+ years of experience building data solutions or software as an engineer
  • You’ve administered data warehouse in production environment
  • You’ve previously held a more senior engineering position for longer than a year
  • Expert in SQL, data modeling
  • Expert in data warehouse performance analysis and optimizations
  • Strong Python programming skills
  • Experience in creating custom data integration tools to extract/load/transform data
  • Experience in building data products with unit and integration tests
  • Experience with both SQL and noSQL datastores (MongoDB)
  • Experience using AWS services (RDS, EC2, Data Pipeline, Lambda) is a plus
  • You keep up to date with advances in data solutions and selectively choose new tools and approaches when appropriate to be more effective.
It is the policy of Aaptiv to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Aaptiv will provide reasonable accommodations for qualified individuals with disabilities.
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