3 months ago
Base Salary
$175k - $210k/yr
Responsibilities
- Design and implement features and performance improvements for highly scalable distributed data pipelines on the cloud
- Develop, maintain, and test code
- Conduct design and code reviews
- Collaborate with peers, product managers, customer support, and other stakeholders
- Solve performance and scalability challenges
- Participate periodically in the on-call rotation
- Participate in the hiring process
- Mentor junior developers
- Improve the reliability and security of customers’ data infrastructure
Requirements
- Bachelor’s degree, preferably in Software Engineering or Computer Science
- 5+ years of software industry experience
- Experience designing and developing reusable libraries and experimentation platforms for backend and frontend systems
- Experience with distributed systems and writing well-structured, performant code
- Ability to lead software and infrastructure design
- Experience with code reviews, design, troubleshooting, and testing
- Experience programming in an object-oriented or systems language such as Java, C++, or C#
- Hands-on experience with AWS, GCP, or Azure and containerization technologies such as Docker or Kubernetes
- Experience with continuous integration tools such as Buildkite
- Knowledge of observability tools such as New Relic or Grafana is a plus
- Knowledge of AI tools and usage is a plus
- Experience with ETL, ELT, data processing, or cloud-based platforms is a bonus
Benefits
- 100% employer-paid medical insurance
- Paid time off, paid sick time, parental leave, holidays, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Virtual happy hours, free food, and team-building activities
- Monthly cell phone stipend
- Mental health support platform with therapy, coaching, and mindfulness resources
- Full-time role based in the Oakland office with a hybrid model requiring two days in the office each week
Tech Stack
Categories
BackendData Engineering
About Fivetran
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.