Festive Neumann
1-10 employees
software-development
barcode-generation
product-label-creation
printing-services
About Festive Neumann
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Description
- At Netlify, the Data, Insights & Systems team is responsible for powering product insights, billing, and customer experience through robust data systems.
- The Staff Data Pipeline Engineer will be the first dedicated pipeline engineer within the engineering organization, working across the entire data ecosystem to design, scale, and optimize Kafka-based streaming pipelines.
- Responsibilities include implementing real-time pipelines with Kafka and databases like MongoDB, Snowflake, and ClickHouse, refactoring legacy systems for performance and scalability, building observability and alerting systems, and collaborating with cross-functional teams to ensure reliable data modeling and reporting.
- The role emphasizes mentoring engineers, documenting architecture, and balancing innovation with stability to support Netlify’s billing and analytics infrastructure.
- The ideal candidate has extensive experience with real-time data processing, managing Kafka clusters, and working across multi-cloud environments, with proficiency in SQL and languages like Go, Python, or Java.
- Preferred experience includes usage-based billing systems and orchestration tools like dbt and Airflow.
- This is a fully remote role with a salary range of approximately $168,000 - $227,000 USD, depending on location and experience.
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Requirements
- Extensive experience building and operating real-time, event-driven data processing systems at scale.
- Hands-on experience managing and scaling Kafka clusters and streaming data pipelines in a production environment.
- Deep expertise in event streaming architectures and messaging systems (Kafka, Kinesis, or similar).
- Strong proficiency with Snowflake, ClickHouse and data modeling for analytical and operational workloads.
- Experience working across multi-cloud environments (GCP and AWS preferred).
- Proficiency in SQL and programming languages Go, Python, or Java.
- Familiarity with observability and monitoring tools (Datadog, Grafana, Monte Carlo etc.).
- Experience with source/version control (Git) and CI/CD workflows for data systems.
- Demonstrated ability to write production code and design scalable, fault-tolerant data infrastructure.
- Track record of mentoring engineers, fostering a culture of data reliability, and improving team capabilities.
- Excellent communication skills and collaborative mindset for working cross-functionally with data, engineering, product and finance teams.
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Benefits
- Competitive salary and comprehensive benefits package.
- Remote work flexibility.
- Opportunities for mentorship and professional growth.
- Collaborative and inclusive team environment.
- Participation in Netlify’s equity plan.
- Support for work-life balance and flexible working hours.
- Potential for career advancement within a fast-growing company.