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Base Operations

Data Engineer

United States (Remote)fulltimemidAdded 1 month ago

About this role

Base Operations seeks a Data Engineer to design and maintain robust ETL pipelines and data warehouse solutions supporting a global threat intelligence platform. You'll build production-grade data infrastructure, implement quality frameworks, and collaborate with data scientists and analysts to enable actionable security insights.

What you'll do

  • Build and maintain ETL pipelines for structured and unstructured data with ML model integration
  • Develop data transformation, validation, and quality monitoring processes
  • Design data warehouse solutions and dimensional data models
  • Establish data quality frameworks with monitoring and alerting
  • Contribute to data architecture decisions and lead platform improvements
  • Ensure production stability, performance optimization, and incident resolution

What they're looking for

  • SQL and data modeling
  • Python for data engineering
  • ETL pipeline development
  • Data warehouse design
  • Workflow orchestration and automation
  • Data quality and governance
  • Geospatial data (preferred)
  • Web scraping (preferred)
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Base Operations

Base Operations builds a global threat intelligence platform powered by robust data infrastructure and ETL pipelines. The company is hiring Data Engineers to design and maintain production-grade data warehouse solutions and quality frameworks that support security analytics.

View all jobs at Base Operations

Likely interview questions

  • Walk us through a production ETL pipeline you built from scratch. What data sources did you work with, and how did you ensure stability and performance?
  • How have you approached data quality monitoring and validation in past roles? Can you describe a time when you caught a data issue and how you resolved it?