Rush Street Interactive

Data Engineer

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado12 jul 2026

Países elegibles3 países aceptados

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

EstoniaMaltaSerbia

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.

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