As a Senior Data Engineer at CorePower Yoga, you'll design and implement robust data infrastructure to support our expanding wellness ecosystem, turning vast datasets into actionable insights that enhance member experiences and operational efficiency.

CorePower Yoga is transforming the wellness industry by bringing yoga to communities across the United States. We are seeking a talented Senior Data Engineer to join our innovative technology team and play a pivotal role in leveraging data to optimize our operations, personalize member journeys, and drive business growth.

In this senior position, you will lead the development of scalable data architectures that integrate diverse data sources from our studio management systems, member apps, and marketing platforms. Your responsibilities will include designing efficient data pipelines to handle high-volume yoga class bookings, member analytics, and performance metrics, ensuring real-time insights for studio leaders and corporate decision-makers.

You will collaborate closely with data scientists, product managers, and software engineers to build a robust data ecosystem that supports predictive modeling for attendance trends and personalized yoga recommendations. Key projects may involve migrating legacy data systems to modern cloud-based solutions, implementing advanced data governance practices, and optimizing queries to reduce latency in our reporting dashboards.

The ideal candidate thrives in a dynamic, health-focused environment where data powers meaningful experiences. If you are passionate about using technology to promote well-being and have a track record of delivering high-impact data solutions, we invite you to bring your expertise to CorePower Yoga and help us elevate the yoga journey for millions.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering roles, with expertise in ETL processes and data warehousing
• Proficiency in SQL, Python, and tools like Apache Spark or Kafka for big data processing
• Experience with cloud platforms such as AWS, GCP, or Azure, including data lake and pipeline orchestration
• Strong knowledge of data modeling, schema design, and ensuring data quality and security
• Familiarity with version control (Git) and CI/CD practices in data environments
• Excellent problem-solving skills and ability to collaborate with cross-functional teams

• Competitive monthly salary with performance bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous paid time off, including vacation, sick days, and wellness retreats
• Access to free CorePower Yoga classes and fitness programs for you and your family
• Professional development opportunities, including certifications and conferences
• Remote work setup with home office stipend
• 401(k) matching and employee stock purchase plan