Staff Software Engineer

Job Summary

To support Slack's data engineering efforts, the full-time Staff Software Engineer will design and develop scalable streaming and batch data ingestion pipelines while collaborating with cross-functional teams in a remote environment.

Key responsibilities

• Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets
• Implement Slack's Lakehouse solutions and enable production use cases for customers
• Improve the reliability and performance of services/pipelines through AI-assisted solutions and tools

Required qualifications

• 7+ years of software/data engineering experience, including building applications using Streaming and Lakehouse technologies
• Hands-on experience with batch data pipelines using Spark, Airflow, EMR, S3, or equivalent
• Proficiency in object-oriented and/or functional programming languages such as SQL, Python, Java/Scala, or Go
• Experience crafting and building robust distributed microservices with tools like Kubernetes, Docker, and AWS
• Familiarity with AI-assisted software development and automation tools