We are looking for a passionate and experienced Data Engineer to join the ML and Analytics team at Orangetheory® Fitness. This is a entry to mid-level position perfect for a 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 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 data facilitator, 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.

WHAT YOU WILL DO

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

Continuous integration, automation, change control, as well as scalable and performant 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

ARE YOU QUALIFIED?

Bachelor’s degree in a quant/tech field like Computer Science, Computer Engineering or Statistics or equivalent experience

1+ years of experience building large scale data pipelines, designing cloud architectures, working with scientists who work in various reporting and analytics capacities

1+ 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)

1+ years of experience working in Python

1+ years of experience with PySpark including experience interfacing with a wide variety of data sources and targets using PySpark

NICE TO HAVE

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

SUPERVISORY REQUIREMENTS

This position is expected to provide technical mentorship to all levels of the Analytics organization. Additionally, this role will supervise incoming entry level Data Engineers.

POSITION TYPE

This is a Full-Time position located at the corporate headquarters in Boca Raton, FL. or at the corporate office in Seattle, WA.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