Job description
At Nautilus, we're engineers, accountants, customer care agents and project managers. We're runners, weight lifters, yoga lovers and outdoor enthusiasts. We are spouses, single parents, pet parents, only children, middle children and living our best single life. Every member of Team Nautilus brings a unique background and skills to our company. We celebrate our differences and share one thing in common. Every employee is on a mission to empower healthier living through immersive, connected fitness experiences. We're a dynamic team driving the future of consumer fitness experiences through our well-known brands (Bowflex®, JRNY®, and Schwinn® Fitness) and a passionate company culture.
We are dedicated to building a healthier world, one person at a time.
Want to see what we're up to? Look here!
The Enterprise Data & Analytics Team at Nautilus ensures that data collected across the organization is designed and optimized for Analytics, AI/ML, and Business Intelligence. The Data Engineer is responsible for building, maintaining, and improving the data infrastructure that powers analytics and enables our Analyst community. To be successful, the Data Engineer must also possess strong business acumen and communication skills to build self-service, intuitive data products with direct input from stakeholders in Product, Finance and Marketing. The ideal candidate has a strong interest in learning more about applied business analytics, and how to create Data Products that deliver exceptional business value.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Translating stakeholder and business needs into technical requirements. This includes balancing system health, performance requirements, and technical debt with stakeholder requests.
- Creating dimensional tables and views in the Data Lake (Databricks), optimized to support Power BI Datasets in addition to API Services
- Building pipelines for optimal extraction, transformation and loading of data from various data sources including MySQL, Oracle, JSON, CSV
- Implementing tools and methodologies to improve data reliability and quality
- Analyzing large, complex sets of data to deliver meaningful and accurate reporting
- Identifying and developing internal process improvements optimizing data delivery, and automating manual processes
REQUIRED QUALIFICATIONS, TOOLS, and LANGUAGES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
TOOLS:
- Databricks (on AWS or Azure)
- PowerBI
- GitHub (or a similar source control tool)
LANGUAGES:
- Expert or Advanced: SQL, Python
- Beginner or Intermediate: Scala
QUALIFICATIONS:
- Excellent communication skills with technical and non-technical audiences.
- Work and educational background in data engineering, data science, data architecture, data warehousing or a related area.
- Experience using RESTful APIs to enable data consumption.
- Experience working in a public cloud environment, particularly AWS.
- Data design expertise (including ERD/ schema design).
- Familiarity with Agile and Scrum Development philosophies.
PREFERRED QUALIFICATIONS, TOOLS, and LANGUAGES
TOOLS:
- Databricks
- AWS
- Amplitude, Adobe Analytics, Braze &/or Qualtrics
- Enterprise machine learning tools, such as Google Cloud AutoML, Azure Machine Learning, DataRobot, or Amazon Machine Learning
QUALIFICATIONS:
- Experience working in an Agile development environment
- Experience in translating complex Analytical requirements into a Data Strategy
- Experience defining Product, Customer, Marketing &/or Financial Analytical Strategy
Education & Knowledge
Required
- Bachelor's Degree in Information Technology, Computer Science, Engineering, Mathematics
- Knowledge of relational databases and Cloud data/analytical environments
- Background in process improvement, Data Profiling and Data Quality
- Familiarity of APIs including knowledge of XML, JSON, REST, SOAP, etc.
- Scripting/programming: Python, SQL
- 3-5 years of experience
Preferred
- MBA or MS in Analytics, Engineering or Computer Science strongly preferred
- Prior experience supporting larger data quality + enablement initiatives
We are Team Nautilus.
We care deeply about our team members' physical, financial, and mental health. We offer:
- Medical, dental, life & accident insurance, and disability insurance
- 401(k) with 3.5% match
- Wellness program with paid vacation and 10 paid holidays
- Bonus opportunities and an Employee Stock Purchase Program
- Professional development and continuing education opportunities
- Fitness product discount program or "Scratch 'N Dent" sale
- State-of-the-art fitness center that employees, spouses and partners can use for free
- Learn more about us here!
Nautilus is deeply committed to diversity in its workforce. In demonstration of our commitment to a healthier lifestyle, we are proud to be a smoke-free campus.
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