Senior Data Engineer Seattle, WA, 98104, Seattle - Corporate HQ

Senior Data Engineer

Full Time • Seattle, WA, 98104, Seattle - Corporate HQ
We are looking for a passionate and experienced Senior Data Engineer to join the ML and Analytics team at Orangetheory® Fitness. This is a senior position perfect for an experienced data engineer looking for an opportunity to join a leader in the fitness franchise industry. If you are keen on getting in on projects on the ground floor, helping define the architecture and ETL pipelines for the movement of large amounts of data, and enabling the end to end deployment of complex ML pipelines, this is the team for you. The Sr. Data Engineer will use a breadth of knowledge to deliver highly available, scalable and cost-effective data architectures. You will demonstrate a comfort with ambiguity and play the role of a technical leader, guiding simple yet creative solutions to complex problems. The end-to-end analytics enabled by this role will be critical in drawing insight from large and complex data sets and using these insights to drive analytical thinking at all levels of the company.
  •  Implement and maintain highly available and stable data ingestion pipelines using industry standard ETL/ELT best practices
  • Collaborate closely with ML scientists and BI engineers/analysts to facilitate fast and efficient algorithm development
  • Create an environment that allows for the exploration and exploitation of our rich datasets
  • Interpret requirements from the business analysis and data science teams to deliver optimal solutions
  • Produce continuous integration, automation, change control, as well as scalable and performance designs
  • Guide the constant improvement of the analytics data ingestion and routing mechanism and ensure that the systems stay current and up to date
  • Quickly identify weaknesses, data integrity lapses and bugs in our data ingestion pipelines and remedy them
  • Provide mentorship and thought partnership to data engineers, scientists and analyst across the analytics organization
  • Make data more available
  • Bachelor’s degree in a quant/tech field like Computer Science, Computer Engineering or Statistics
  • 5+ years of experience building large scale data pipelines, designing cloud architectures, working with scientists who work in various reporting and analytics capacities
  • 5+ years of experience working in an AWS heavy environment and a breadth of knowledge and familiarity with core AWS storage and data pipelining services. (Redshift, EMR, RDS, Glue, Kinesis, Dynamo DB, Firehose)
  • 3+ years of experience working in Python
  • 2+ years of experience with PySpark including experience interfacing with a wide variety of data sources and targets using PySpark
  • Experience writing highly optimized and efficient SQL
  • High level understanding and knowledge of core statistical and data science concepts are a plus
  • Experience with the standard software development lifecycle including code reviews, source control management, CI/CD etc.
  • Experience working with Snowflake data warehouses
  • Experience executing spark jobs through YARN on EMR clusters
  • Experience working in a big data environment, moving large amounts of data through complex pipelines
  • Experience with both Object Oriented and Functional programming paradigms
This role is expected to provide technical mentorship to all levels of the Analytics organization. Additionally, this role will supervise incoming entry level Data Engineers.
This is a Full-Time position that can be located at either the corporate office in Seattle, WA. or Boca Raton, FL.

Why Join Orangetheory Corporate?
We offer a competitive salary along with exceptional benefits such as:
  • Free workouts at corporate studios
  • Healthcare Benefits: Medical, Dental, Vision among many other supplemental benefits
  • Employer Paid Benefits: Long-Term Disability and Life Insurance
  • Paid Time Off
  • Holiday Pay
  • Parental Leave Pay
  • State-of-the-Art Wellness Center at Corporate Headquarters
  • 401k Plan with Employer Contribution
  • Team Building, Employee Engagement activities and so much more

Our Company provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.


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U.S. Equal Opportunity Employment Information (Completion is voluntary)

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Company Benefits & Perks

Benefits are very important to us. We are constantly looking for ways to increase our benefit package to attract and retain top candidates.

Flexible Schedules
Workout for Free
Fitness casual dress-code
Passionate, collaborative work environment