Senior Data Engineer

The role

You will scale the data ecosystem and evolve the data and analytics stack. You will build dbt models in Snowflake, design data infrastructure, and partner with stakeholders to track core KPIs.

What you will do

• Build and maintain robust dbt models in Snowflake
• Own and evolve systems and processes that underpin the data platform
• Design and build systems to track core KPIs
• Partner with stakeholders to ensure teams have timely and accurate data
• Work with Trust, Security, and Governance teams to keep customer data safe

Required qualifications

• 3+ years of Data Engineering experience
• SQL with complex window functions, query optimization, and schema design
• Fluent in Python and able to write clean, maintainable, production-grade code
• Hands-on experience with dbt, Dagster, Snowflake, and cloud infrastructure (AWS, GCP, or Azure)
• Experience with BI/data visualization tools (Looker, Metabase, Mode, etc.)
• Track record of extracting value from large, complex datasets

Nice to have

• Understanding of applied statistics and ability to create quantitative models
• Domain knowledge of Banking or SaaS analytics
• Experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.)
• Experience with design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.)
• Experience joining a company at its early stages and seeing it through scale

Before you apply

• Stage 1: 30-minute Google Meet video call with Talent team
• Stage 2: 45-minute technical deep dive via Google Meet
• Stage 3: 60-minute case study presented to a panel of technical stakeholders
• Stage 4: 45-minute in-person interview with a member of the Leadership team
• All offers are conditional upon a successful background check and employment verification through Certn

About the company

Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money.