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Software Engineer (Data and Machine Learning)

Supernatural is helping countless people fall in love with working out for the first time in their lives.

Supernatural harnesses the immersive power of virtual reality to let you travel the world as you smash and box targets to the beat of over 1,000 top hits, coached by a professional trainer. With an ever-growing library of workouts across Supernatural Flow (our original full body cardio modality), Supernatural Boxing, Coach-led Stretch sessions and Guided Meditation, Supernatural invites you to discover your inner athlete and have fun working out. Available on the Oculus Quest.

Check out the Official Supernatural Community on Facebook to meet our diverse community of athletes and coaches as they celebrate their fitness journeys together. Supernatural is loved by The New York Times , Washington Post, GOOP, People, Today, Men’s Fitness, Women’s Health and hundreds more, check out our press page for more.

Join our team and become part of a community dedicated to helping people find joy in health and wellness today.

The Role:

As a Data Engineer you will partner with the Analytics team, maintain and advance our analytics platform and underlying data models to enable advanced reporting, data science analysis and running machine learning models. You will be an integral part of providing data-driven insights that inform significant business decisions by setting up data infrastructure, building data pipelines, deploying machine learning models to production, and implementing reporting frameworks for different business units.

This role works with Product, Marketing, Content and Operations teams to deliver the insights and data that drive the growth engine of our business.

Responsibilities:

• Lead the efforts to design and develop data models and applications using selected tools and frameworks.
• Own, build and continuously improve our data infrastructure. Stay up-to-date with the state-of-the-art technologies and lead the organization with a culture of learning. Define and evolve engineering standards and best-practices
• Pioneer, lead and own complex data projects that often involve coordination with different disciplines and teams.
• Work closely with the backend and client engineering team to ensure end to end data integrity.
• Build production grade data and machine learning pipelines in a range of environments, to support batch and streaming applications.
• Monitor ML models in production to evaluate performance, model drift, and decay.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.

Required Qualifications:

• BS or MS degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years Experience writing Big Data pipelines, as well as custom or structured ETL, implementation, and maintenance
• Proficient in writing SQL queries and with data warehousing using MPP databases (Snowflake, Redshift, Teradata, etc.)
• Strong foundation in software engineering (using Python or similar language)
• Significant experience optimizing software to run fast, be reliable and fail safely – O(n) analysis should be easy for you.
• Experience with AWS
• Experience running (machine learning) data pipelines
• Experience with data modeling tools like dbt is preferred.

Desired Qualifications:

• Proven track record of launching and supporting live products at scale
• Experience with data processing (such as Hadoop, Spark, Pig, Hive, MapReduce, etc).
• Proficient with MLOps tools (such as AWS SageMaker, Databricks)
• Experience with data modeling tools like dbt is preferred.
• Familiarity with Airflow and Terraform
• Start-up / entrepreneurial experience

At Supernatural, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Supernatural is committed to bringing together individuals from all different backgrounds and perspectives, however, applicants from agencies as well as corporation to corporation work will not be considered at this time.

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