Rush Street Interactive

Data Engineer

Rush Street Interactive

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇪🇺 Anywhere in Europe

Visit company website
✨ AI Apply
Apply

Job Level

SeniorLead

Tech Stack

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformHadoopKubernetesPythonSparkSQL

About the role

  • Maintain and configure our Snowflake data platform and data pipelines.
  • Design effective incremental data integration pipelines that account for data quality, performance, and cost efficiency.
  • Drive innovation by trying out new tools and influencing platform improvements.
  • Cooperate closely with other Development teams and Operations.
  • Implement and maintain data security, auditing and performance/cost monitoring.

Requirements

  • 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, Vertica, Teradata or SAP HANA/Hadoop/Hive/Spark).
  • 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).
  • Positive and solution-oriented mindset, willing to try and learn new technologies.
  • Excellent knowledge of English and communication skills.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data WarehousingDatabase administrationDatabase developmentSQLPythonData integration pipelinesData qualityPerformance monitoringCost efficiencyELT tools
Soft skills
Positive mindsetSolution-orientedWillingness to learnCommunication skills