Data Engineer

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Rush Street Interactive

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🎲 Gambling

🎮 Gaming

💰 $160M Post-IPO Equity on 2020-12

Gambling • Gaming • Entertainment

Rush Street Interactive is a leading company in the online gaming industry, specialising in online casinos and sports betting. Known for building highly recognizable and approachable brands like BetRivers, RushBet, and PlaySugarHouse, the company offers player-centric online casino and sportsbook experiences in North America and Latin America. With a focus on innovation and customer retention, Rush Street Interactive strives to deliver engaging, real-money gaming products, and memorable entertainment experiences across various platforms. They are committed to creating user-friendly and fair gaming environments while expanding their footprint globally.

📋 Description

• Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability. • Drive innovation by adopting modern engineering practices, AI-assisted development, and automation to continuously improve the data platform and accelerate delivery. • Design, build, and optimize incremental data integration pipelines with a strong focus on data quality, performance, scalability, and cost efficiency. • Implement and maintain data security controls, support audit and compliance requirements, and monitor platform usage and costs. • Collaborate closely with Engineering, Product, and Operations teams to deliver reliable, scalable data solutions.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field preferred. Equivalent practical experience will be considered. • 7+ years of experience in Data Warehousing/Database administration/Database development. • 5+ years of experience as a Data Engineer using SQL and Python. • Experience with a cloud-based tech stack on platforms such as AWS, GCP or Azure (docker or Kubernetes). • Experience working with high volumes of data (with tooling like Snowflake, BigQuery, Redshift, DataBricks, Iceberg or similar modern column-store solution). • Operational experience administering Snowflake (or comparable cloud data warehouse) at scale: resource monitors, warehouse sizing, RBAC, network policies, and query performance analysis. • Knows what it takes to produce high-quality, high-performance, maintainable and scalable data pipelines. • Broad skills using ELT tools and data integration-related technologies (Airflow, DBT, python, S3, REST-API). • Hands-on experience using AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, Cortex, or similar) in day-to-day development workflows. • Positive and solution-oriented mindset, willing to try and learn new technologies. • Excellent knowledge of English and communication skills. • Comfortable working with distributed teams across time zones. • Able to travel occasionally both domestically and internationally

🏖️ Benefits

• Comprehensive compensation • Work-life balance initiatives • Autonomy – we embrace personal freedom and responsibility • Creativity – we are open to new ideas of how we can be better • Growth – we want you to develop personally as well as professionally • Top-notch professionals who are passionate about what they do • People-oriented environment and supportive atmosphere