data engineer Data Warehouse

Rush Street Interactive is a market leader in online casino and sports betting, operating real-money gaming through the BetRivers.com, PlaySugarHouse.com, and RushBet.co brands. The company connects online, social, and land-based gaming businesses to create integrated gaming experiences.

• Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools;
• Drive innovation by adopting modern engineering practices, AI-assisted development, and automation;
• Design, build, and optimize incremental data integration pipelines focused 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 with Engineering, Product, and Operations teams to deliver reliable, scalable data solutions.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field preferred; equivalent practical experience will be considered;
• 7+ Years of experience in Data Warehousing, Database administration, or Database development;
• 5+ Years of experience as a Data Engineer using SQL and Python;
• Experience with cloud-based technology stacks on AWS, GCP, or Azure, including Docker or Kubernetes;
• Experience working with high volumes of data using Snowflake, BigQuery, Redshift, DataBricks, Iceberg, or a similar modern column-store solution;
• Operational experience administering Snowflake or a comparable cloud data warehouse at scale, including resource monitors, warehouse sizing, RBAC, network policies, and query performance analysis;
• Ability to produce high-quality, high-performance, maintainable, and scalable data pipelines;
• Broad skills with ELT tools and data integration technologies, including Airflow, DBT, Python, S3, and REST API;
• Hands-on experience using AI-assisted coding tools such as Claude Code, GitHub Copilot, or Cortex in daily development workflows;
• Positive and solution-oriented mindset, with willingness 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;
• Nice to have: Experience with Docker or Kubernetes, GCP or Azure, BigQuery, Redshift, DataBricks, Iceberg, Claude Code, GitHub Copilot, or Cortex.

• €60.000—€90.000 EUR for Serbia;
• €60.000—€90.000 EUR for Estonia;
• €70.000—€90.000 EUR for Malta;
• Compensation for other European locations reflects local market conditions, skills and experience, and role scope; the applicable pay range will be provided before interviewing;
• Comprehensive compensation;
• Work-life balance initiatives;
• Autonomy and personal responsibility;
• Professional and personal growth opportunities;
• Supportive, people-oriented environment;
• Occasional domestic and international travel is required;
• The role uses AI-assisted tools at select stages of the hiring process; AI does not make hiring decisions;
• The position is intended to be filled within the Estonia, Serbia, or Malta hiring hubs; other European locations may be considered in limited cases.