2 months ago
Base Salary
$175k - $210k/yr
Responsibilities
- Design and implement features and performance improvements across Metadata services, including discovery API, catalog, lineage, and run history.
- Develop, test, maintain, and optimize high-quality backend code and reusable components.
- Write, review, and explain technical designs and design trade-offs.
- Review pull requests, provide constructive feedback, and improve engineering quality.
- Increase unit-test coverage and reduce technical debt through refactoring.
- Troubleshoot production issues and follow up with post-mortems and mitigation plans.
- Plan and execute feature-level work and contribute to sprint and feature planning.
- Collaborate with product managers, QE, customer support, and engineering peers.
- Participate periodically in the on-call rotation and address security considerations.
- Use AI coding assistants and conversational AI to accelerate development and create or review SDLC artifacts.
Requirements
- 5+ years of software industry experience designing and building backend services and reusable components.
- Experience with distributed systems and cloud computing concepts.
- Ability to write well-structured, performant, and well-tested code.
- Ability to independently lead feature-level software and design work and explain design trade-offs.
- Experience identifying design flaws and proposing system improvements.
- Experience with code reviews, technical design, troubleshooting, and testing.
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#.
- Hands-on experience with AWS, GCP, or Azure and Docker or Kubernetes.
- Experience with continuous integration tooling such as BuildKite.
- Familiarity with observability tools such as Datadog or Grafana is a plus.
- Fluency with AI code assistants, coding agents, and conversational AI such as Claude or ChatGPT.
- Bonus experience includes ETL or ELT, cloud-based data platforms, metadata/catalog/lineage/discovery systems, GraphQL APIs, high-throughput multi-tenant data services, and the dbt ecosystem.
Benefits
- Full-time, fully remote work arrangement.
- 100% employer-paid medical insurance, with availability varying by country and worker type.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, 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 for covered employees and dependents.
Tech Stack
Apache KafkaAWSAzureBuildkiteC#C++DatadogdbtDockerGoogle Cloud PlatformGrafanaGraphQLJavaKubernetesPostgreSQLPythonRustSnowflake
Categories
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.