ABOUT THE ROLE
Peloton is looking for a talented Data Engineer to join the Data Science team. In this role, you will help scale Peloton’s data infrastructure for business needs by building batch and streaming data pipelines that process terabytes of data daily. You will have the opportunity to work with multiple teams of engineers and business partners to support analytics and reporting data needs across the organization.
This role will be hybrid, not remote.
YOUR DAILY IMPACT AT PELOTON
- Build and maintain data pipelines to support the data and analytics needs of different stakeholders across multiple business verticals including Supply Chain, Logistics, Finance, Marketing, Product, etc.
- Understand end to end data interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions.
- Collaborate with the team to develop best practices in building our next generation data platform.
- Implement data lake ingestion pipelines using Apache Spark and Apache Hudi.
YOU BRING TO PELOTON
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- 3+ years in data engineering roles or 4+ years in data-intensive engineering or software development roles.
- Bachelor’s degree in a STEM related field. Advanced degree preferred.
- Strong knowledge of at least one programming language: Python (preferred) or Java.
- Working knowledge of developing ETL/ELT pipelines, including data processing and transforming data to meet business goals.
- 1+ years of experience with big data architectures and tools to efficiently process large volumes of data.
- Familiar with REST for accessing cloud based services.
- Excellent knowledge about databases or data warehouses, such as PostgreSQL or Redshift.
- Strong understanding and working knowledge of using SQL (PostgreSQL or Redshift preferred) for various reporting and transformation needs.
- Comfortable with Linux operating system and command line tools such as Bash.
- Team player with excellent communication, adaptability and collaboration skills.
- Experience running Agile methodology and applying SCRUM to data engineering.
- Experience with GIT and Github.
BONUS POINTS IF YOU HAVE
- Experience working in a cloud-based ecosystem, preferably AWS (including RDS, Redshift, Athena, Glue, etc.).
- Experience with Apache Hadoop, Hive, Spark or PySpark.
- Experience with orchestration tools such as Apache Airflow.
- Experience with data integration tools such as Airbyte.
#LI-JC1
#LI-Hybrid
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
ABOUT PELOTON:
Peloton (NASDAQ: PTON), provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com
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