Senior Data Engineer, Stash

• 4+ years of professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines
• Experience with Airflow, AWS cloud tech stack, any data movement tools such as Fivetran, Scala/Python
• You have built large-scale data products and understand the tradeoffs made when building these features
• BS / MS in Computer Science, Engineering, Mathematics, or a related field

Desirable

• Join our Data Engineering team as a Senior Data Engineer where you will be responsible for enhancing our data infrastructure to take it to the next level, in collaboration with the team
• In this role, you will have the opportunity to make an impact in Stash's growth by coordinating with data science, marketing teams and backend teams by aligning with their data needs
• Contribute to the design/architecture new initiatives such as real time streaming pipelines, tooling around data governance, build job orchestration abstractions to manage resources on AWS
• Collaborate with the team to build tools for data science/marketing teams
• Design integration pipelines for new data sources and improve existing pipelines to perform efficiently at scale
• Provide technical guidance to the team
• Leverage best practices in continuous integration and deployment to our cloud-based infrastructure
• Optimize data access and consumption for our business and product colleagues