Fivetran is building data pipelines to power the modern data stack for thousands of companies and is seeking a Staff Software Engineer to contribute to the development of Fivetran’s Managed Data Lake product offering.
Requirements
- 5+ years of hands-on or research experience with high-performance relational data management systems.
- Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements.
- Strong development skills in Java and C++.
- Solid experience with public clouds (AWS, Azure, GCP).
- Demonstrated knowledge of columnar storage formats.
- Java, C++, Postgres, Temporal, gRPC
- AWS, GCP, Azure, Kubernetes, Grafana
Responsibilities
- Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team.
- Contribute to open-source projects such as DuckDB and Polaris.
- Embrace Fivetran innovations with open-source standards and toolsets.
- Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
- Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.
- Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands.
- As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization
Other
- This is a full-time remote position based out of Germany.
- Proven track record of leading and delivering projects.
- Growth mindset and excitement about breaking the status quo by seeking innovative solutions.
- Excellent team player who is consistent in making everyone around you better.
- Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines.
