Senior Data Engineer

About Unit

Unit is building the platform to power the next generation of financial services. Our mission is to help companies expand financial access for all. Our simple and powerful banking-as-a-service API helps companies launch bank accounts, cards, payments, and lending in weeks - not years.

Unit was founded by a team with deep fintech and financial services experience and the first banking-as-a-service platform to reach unicorn status. We have raised over $169 million to date from top investors including Insight Partners, Accel, Better Tomorrow Ventures, Aleph, and Flourish and serve 140+ customers including AngelList, Honeybook, Roofstock, and many more.

THE ROLE

An opportunity to join in the phase of shaping Unit’s data products, technologies and pipelines. As a key member of this team, you will work with a variety of stakeholders and help translate concrete business requirements into working solutions that are able to process and transform large amounts of data to enable business-critical applications. The role includes architecting, implementing and maintaining Unit’s data solutions and products.

Key Responsibilities

• Collaborate with Unit’s engineers, data scientists, data analysts and product managers to deeply understand the potential value of big-data at Unit and assist in accurately forming big-data requirements.
• Develop, maintain and optimize Unit’s big-data pipelines and ETL processes, utilizing optimal patterns, frameworks, standards and best practices.
• Serve as one of the primary experts and participate in relevant forums to represent the technical aspects and implications on Unit’s big-data.
• Contribute to data-related policies such as data governance, security, privacy, retention, versioning and more.
• Assist in shaping Unit’s big-data roadmap and design existing solutions with a future-aware mindset that will serve as foundations to upcoming needs (e.g self-serve ETL building capabilities). Contribute to the initiatives backlog and drive projects to completion with guidance of relevant principal engineers.
  
  

• 5+ years of proven experience in building production-ready data pipelines and ETLs. This includes implementing, deploying, monitoring and troubleshooting business-critical workloads.
• Extensive experience with relational databases, schema design and complex SQL queries
• Experience with design principles and implementations of data warehouses and data lakes
• Familiarity with data visualization and business intelligence tools
• Experience with AWS Glue is an advantage
• Experience with Redshift is an advantage
• Good understanding of distributed systems and distributed data stores is an advantage
• Experience with Terraform or other infrastructure-as-a-code alternatives is an advantage
• Experience with Kubernetes is an advantage