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Rush Street Interactive

Senior Data Engineer

RemoteEstonia, Serbia, Malta only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Company size
Enterprise
€60k–€90k/yr
Check eligibility

Open to EE, RS, MT only. Set where you work from to check your eligibility.

No BS summary

Senior data engineer with 5+ years as a Data Engineer and 7+ years in data warehousing/DB administration. Must be proficient in SQL and Python and have operational Snowflake/cloud DW experience. Role is intended to be hired in Estonia, Malta, or Serbia (remote from those hubs).

Core skills

SQLPythonSnowflake

Required skills

AWSAirflowDBTS3REST APIDockerKubernetes

Optional skills

BigQueryRedshiftDataBricksIcebergAI-assisted coding tools (Claude Code, GitHub Copilot, Cortex or similar)

Required languages

English

What you'll do

  • 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.

What they require

  • 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.
  • Bachelors degree in Computer Science, Engineering, Data Science, or related field preferred (equivalent practical experience considered).
  • 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
  • Creativity
  • Growth and professional development
  • People-oriented environment and supportive atmosphere

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