Fivetran

Principal Software Engineer - Data Lakes

Fivetran
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3 months ago
Remote, Germany or Berlin, GermanyStaff+

Responsibilities

  • Partner with product teams to understand requirements and design customer-facing capabilities
  • Design, develop, implement, and operate highly reliable large-scale data lake systems
  • Contribute to open-source projects including DuckDB and Polaris
  • Analyze and resolve fault-tolerance, high availability, performance, and scale challenges
  • Ensure operational excellence and meet customer commitments for security, reliability, availability, and performance
  • Set technical direction and influence cross-functional teams

Requirements

  • 6+ years of hands-on or research experience with high-performance relational data management systems
  • Deep understanding of infrastructure and software optimization and performance engineering
  • Proven track record of leading and delivering large, complex projects
  • Strong development skills in Java and C++
  • Solid experience with AWS, Azure, and GCP
  • Knowledge of columnar storage formats
  • An MS or PhD in Computer Science focused on database management or storage engines is strongly preferred

Benefits

  • 100% employer-paid medical insurance, subject to country and worker type
  • Generous paid time off, paid sick time, inclusive parental leave, holidays, and volunteer days off
  • RSU stock grants
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and team-building activities
  • Monthly cell phone stipend
  • Mental health support platform with therapy, coaching, and self-guided mindfulness resources
  • Full-time remote position based out of Germany

Categories

BackendData Engineering
Fivetran

About Fivetran

1,001-5,000 employees

Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.

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