Note: The job is a remote job and is open to candidates in USA. Rush Street Interactive is a market leader in online casino and sports betting, and they are seeking a Data Engineer to join their Data team. The role involves developing reliable data pipelines and enhancing the data platform while ensuring data quality and security.
Responsibilities
- 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
Skills
- 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
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field preferred. Equivalent practical experience will be considered
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
Company Overview
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