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Data Engineer, e-Commerce

Peloton, New York, New York

High-energy group fitness in your living room


Data Engineer (e-commerce)

Data Engineer (e-commerce)

Peloton is looking for a Data Engineer to build our e-commerce Data Pipelines and increase the data integrity of e-commerce data models. You will work with multiple teams of passionate and skilled data engineers, architects, and analysts responsible for building batch and streaming data pipelines that process data daily and support all of the e-commerce reporting and ERP Integrations needs across the organization. 

Peloton is a cloud-first engineering organization with all of our data infrastructure in AWS leveraging EMR, AWS Glue, Redshift, S3, Spark.  You will be interacting with many business teams including finance, analytics, enterprise systems, and partner to scale Peloton’s e-commerce data infrastructure for future strategic needs.

RESPONSIBILITIES

Help build a culture of quality

  • Assume technical responsibility for new services and functionality, lookout for opportunities for platform improvement, and work with engineers to scale our production systems.
  • Identify and lead technical initiatives to build clean, robust, and performant data applications.
  • Contribute to the adoption of software architecture and new technologies.

Mentorship

  • Lead, coach, pair with, and mentor e-commerce data software engineers.
  • Mentor data engineers from diverse backgrounds to nurture a culture of ownership, learning, automation, re-use, and engineering efficiency through the use of software design patterns and industry best practices.
  • Engage in code reviews helping maintain our coding standards.
  • Be a leader within your team and the organization.
  • Facilitate the on-time completion of large project
  • Understand the data needs of different stakeholders across multiple business verticals including Business Intelligence, Finance, Enterprise System.
  • Develop the vision and map strategy to provide proactive solutions and enable stakeholders to extract insights and value from data.
  • Understand end to end data interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions.
  • Design best practices for big data processing, data modeling.
  • Lead architecture meetings and technical discussions with the focus of reaching consensus and best practice solutions. 
  • Break down tasks for other engineers and offer guidance to other engineers on the team when they are blocked.
  • Achieve on-time delivery without compromising quality.

QUALIFICATIONS

  • 3+ years of relevant experience including e-commerce and data engineering
  • Good active listening skills, the ability to empathize with stakeholders, and other engineers.
  • Experience in a high-paced, high-growth environment working with deadlines and milestones.
  • Comfortable with ambiguity; you enjoy figuring out what needs to be done.
  • At least one modern programming language and can learn anything you don't already know to get the job done.
  • Excellent time management skills.
  • Have a solid understanding of clean data design principles.
  • Experience mentoring engineers with the team-focused mentality for success.
  • Excellent knowledge about databases, such as PostgreSQL and Redshift.
  • Has experiences with GIT, Github, JIRA, and SCRUM.
  • 2+ years in building a data warehouse and data pipelines. Or, 2+ years in data-intensive engineering roles.
  • Experience with big data architectures and data modeling to efficiently process large volumes of data.
  • Background in ETL and data processing, know how to transform data to meet business goals.
  • Experience developing large data processing pipelines on Apache Spark.
  • Strong understanding of SQL and working knowledge of using SQL(prefer PostgreSQL and Redshift)  for various reporting and transformation needs.
  • Experience with distributed systems, CI/CD (ex: Jenkins) tools, and containerizing applications (ex: Kubernetes).
  • Familiar with at least one of the programming languages: Python, Java.
  • Comfortable with Linux operating system and command-line tools such as Bash.
  • Familiar with REST for accessing cloud-based services.
  • Excellent communication, adaptability, and collaboration skills.
  • Experience running an Agile methodology and applying Agile to data engineering.

BONUS POINTS

  • Familiar with the AWS ecosystem, including RDS, Redshift, Glue, Athena, etc.
  • Has experiences with Apache Hadoop, Hive, Spark, and PySpark.
 

ABOUT PELOTON:

Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.

“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. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:  [email protected]

 

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email [email protected] before taking any further action in relation to the correspondence.

 

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

About Peloton

Founded in 2012, Peloton is a global interactive fitness platform that brings the energy and benefits of studio-style workouts to the convenience and comfort of home. We use technology and design to bring our Members immersive content through the Peloton Bike, the Peloton Tread, and Peloton Digital, which provide comprehensive, socially-connected fitness offerings anytime, anywhere. We believe in taking risks and challenging the status quo by continuously innovating and improving. Our team is made up of passionate brand ambassadors, and we know that together, we go far.


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