PointFive enables Continuous Cloud Cost Efficiency through Deeper Detection and Collaborative Remediation, enhanced by our DeepWaste™ detection engine. Join us in making the world of cloud optimization more efficient and actionable!

We're looking for a skilled and driven Data-oriented Software Engineer to join our innovative engineering team. In this role, you’ll have a direct impact on our data infrastructure and pipelines, transforming complex data requirements into efficient, scalable solutions that deliver real value to our business and customers.

• Develop large-scale, distributed data collection workflows that efficiently scan extensive cloud environments
• Design and implement robust, scalable data pipelines and ETL/ELT processes over large data volumes.
• Develop and optimize our data warehouse architecture to support analytical and operational needs.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality, reliable solutions.
• Implement data quality checks and monitoring to ensure data integrity and system resilience.
• Contribute to the architectural evolution of our data platforms.
• Diagnose and resolve data-related issues, ensuring system reliability and uptime.
• Stay current with the latest technologies and best practices in data engineering to drive continuous improvement.
  

• A passion for data, a growth mindset, and an ability to excel in a dynamic environment.
• Proficiency in dbt and SQL.
• Experience with big data technologies, such as Snowflake or comparable solutions.
• Familiarity with cloud-based data solutions, ideally on AWS, GCP, or Azure.
• Strong knowledge of data modeling, data warehousing, and ETL/ELT processes.
• 5+ years of experience in software development (using languages such as Go, Java, Python, C#, etc.).
• 3+ years of experience specifically in data engineering.
  

• Go, Temporal, dbt, Modern RDBMS, Snowflake, AWS, Kubernetes, modern design & architectural patterns, React, GraphQL.