Rapsodo Inc. is a sports analytics company that uses computer vision and machine learning to help all athletes maximize their performance. Our proprietary technology applications range from helping PGA Tour golfers optimize their launch conditions to allowing MLB pitchers to increase the efficiency of their breaking balls. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments. As Rapsodo continues to grow and expand our business internationally, we are looking for a hands-on, driven, and empathetic Data Engineer with a passion for collaborating and making a difference to join our team. The ideal candidate will have strong communication, analytical, and problem-solving skills to effectively engage internal and external stakeholders. To succeed in this role, you will also have a commitment to continuous improvement, excellent organization skills, superior attention to detail, and high resiliency and adaptability within a complex and fast-paced environment. Key Responsibilities: -Work closely with product, sales, and marketing teams to transform requirements into a data engineering roadmap -Design and build new data processing pipelines -Design and build data analytics and reporting platform in the cloud -Supporting and working with cross-functional teams in a dynamic environment Skills & Qualifications: -3+ years of data engineering experienceBA/BS degree in Computer Science, similar technical field of study or equivalent practical experience -Good knowledge and exposure to cloud computing, such as Google Cloud Platform (GCP) and AWS -Experience with building data warehouses and data lakes -Experience with data enrichment between transactional data and semi-structured data -Experience with BI tools (Tableau or Qlick or PowerBI)Coding/scripting experience with improving and updating the quality of the ETL process -Experience with Google BigQuery is needed -No military requirement -Excellent communication skills in English Plus-to-have: -Experience in well-known data engineering tech stacks (like Apache Airflow, Apache Spark, GCP PubSub, Kafka, and such) -Experience with relational SQL and NoSQL databases (Cassandra, MongoDB, Snowflake, Postgres, etc.) -Hands-on experience with programming languages like Java and/or Python -Basic understanding of containerization technologies such as Docker -Proficiency in Git If you think you have what it takes and look forward to working independently and contributing to an innovative, passionate and driven environment, please send in your application.