Sr Data Engineer

Universal Tennis Overview:

Universal Tennis is on a mission to grow the sport of tennis by connecting players globally through level-based play, innovative events and a digital marketplace. We are both a technology and tennis event company. Our innovative tools and technology make tennis better for all players and providers, with our gold-standard UTR tennis rating system at the core, powering level-based play around the globe. We proudly operate the UTR Pro Tennis Tour with Federations and venues to support aspiring pro players and provide new pathways for competitive juniors. To learn more, visit www.universaltennis.com.

The Company is Silicon Valley based, profitable, high-growth and backed by some of the leading investors in tennis, sports, technology and media, including Ken Hao (Chairman, Silver Lake Partners); Larry Ellison (Co-founder and CTO of Oracle); TEAM8, the creator and principal owner of Laver Cup and sports company founded by Roger Federer, Tony Godsick, Ian McKinnon and Dirk Ziff; Novak Djokovic (20-time Grand Slam Champion); Mark Leschly (CEO of Universal Tennis, Founder & Managing Partner of Iconica Partners, Managing Partner of Rho Capital Partners); Tennis Channel / Sinclair; Tennis Australia (operators of the Australian Open); and many others.

The role:

The Universal Tennis development team is looking for a senior data engineer to join our team to help scale and evolve our data platform. This role provides the opportunity to work with complex datasets and back-end systems supporting multiple different services and product lines. To excel in this role you should be willing and unafraid to dive into any challenge. This role will serve alongside a senior engineer and provide support to the data science and development teams as needed. If you value a culture of continuous improvement this role may be for you!

In this role you will:

• Help design and build data rich applications and features supporting our platform and customers
• Continue to scale, evolve, and support our tennis rating algorithm and pipeline
• Provide support to the data science team by building data pipelines, designing data warehouse schemas, and optimizing queries
• Facilitate data sharing with external partners by exposing well-documented web apis and data feeds
• Evolve the ingestion of external data into our system to support changes to incoming data formats

Requirements

• 3+ years of backend web development and/or data engineering
• Competency with C#, Java and/or Python desired
• Strong knowledge of relational databases and SQL
• Experience with cloud based application platforms (AWS, Azure)
• Experience with data scraping, cleaning, and building ETL or ELT pipelines
• Experience with some ETL tool such as SSIS, Azure Data Factory, or Apache Airflow
• Experience with data warehousing techniques and schema design (Azure Synapse a plus)
• Experience with data transformation frameworks such as LINQ, numpy, or pandas
• Experience with big data frameworks such as Databricks/Spark a plus
• Experience with Redis, cloud object storage (such as Azure Blob, AWS S3), serverless functions, and containers a plus

Benefits

The Company is headquartered in Palo Alto, CA but this position is FULLY REMOTE. We are offering a competitive salary and equity compensation package with flexible working hours and UNLIMITED PTO, telecommuting, medical, dental, and vision insurance, along with long term and short term disability and a bunch of that other fun stuff that you’d expect from a tech start-up.