Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.
We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.
Are you passionate about building high-performance, scalable data pipelines that drive real-time insights? Do you thrive in a role that blends hands-on engineering, optimization, and data-driven problem-solving?
At Rapsodo, we leverage advanced data engineering to power our analytics and decision-making processes. We are looking for a Data Engineer to design, optimize, and maintain robust data pipelines while ensuring seamless data accessibility and security.
This role requires independent problem-solving skills, but you will also collaborate closely with cross-functional teams to optimize data workflows and drive business impact.
Responsibilities:
- Design, build, and maintain scalable data pipelines (ETL - Extract, Transform, Load) from various sources (structured and unstructured databases)
- Optimize PostgreSQL and Google BigQuery to enhance data processing performance and reliability
- Maintain dataflows from MongoDB to Google BigQuery
- Develop dashboards and reports in Apache Superset to enable data visualization and decision-making based on interactins with other departments.
- Ensure data quality, security, and accessibility by collaborating with cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Physics or a related field. Equivalent experience in place of a degree is applicable
- Minimum 2 years of experience in data engineering or related fields.
- Strong problem-solving skills with the ability to work independently.
- Fluency in spoken English communication for effective collaboration across teams.
Core Tech Stack:
- PostgreSQL, Google BigQuery for database management.
- Airbyte, Airflow for data pipeline automation.
- Apache Superset for visualization and reporting.
- Git based code revision control system
Cloud Proficiency: Experience with Google Cloud Platform (GCP) for data processing and storage.
Programming Skills:
- Advanced SQL for efficient data transformation.
- Working knowledge of Python for scripting and automation.
- Basic JavaScript for BigQuery Dataform functions where applicable.
At Rapsodo, you'll be part of a newly formed data team shaping the future of sports technology. You’ll work with cloud technologies to build scalable and high-performance data systems that power real-time analytics. You will get exposure and ample opportunity to learn how to work with non-engineering departments (this is an opt-in).
If you’re eager to solve complex data challenges, optimize large-scale data workflows, and contribute to a team building data capabilities from the ground up, we’d love to hear from you.
Apply now and help shape the future of sports technology through data engineering!
