Senior Data Engineer

Senior Data Engineer Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses. Our mission is to increase the success rate of small businesses. Traditional banking has been a growth limiter rather than a growth enabler for business owners, and we’re changing that. Relay is the all-in-one, collaborative money management platform. We’re building for employer SMBs and their finance function, internal and external, and are focused on delivering a human-centric customer experience. Ultimately, we help SMBs be ‘on the money'. We’re looking for a Senior Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows. You'll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers. Please note that we are a hybrid environment and choose to collaborate in the office three days a week (Tues-Thurs) What You'll Be Doing: - Construct data models via DBT in our Snowflake data warehouse that allow for robust, secure, privacy-preserving analysis on Relay's rich trove of data - Ensure the technology and processes that underpin our data platform scale as Relay continues to grow - Create data tools, workflows and APIs for other technical teams to consume and interact with our data platform - Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs - Build the systems that help us track core KPIs and ensure all our teams have the timely and accurate data they need to function effectively - Work closely with Trust, Security and Governance teams to keep our customer data safe through security and compliance best practices What You'll Bring: - 3+ years of Data Engineering experience - SQL knowledge that goes well beyond the basics of SELECT, WHERE and GROUP BY - Experience with one-or-more object-oriented & functional scripting languages (including Python, Java or Javascript) - Experience with cloud computing (AWS, GCP or Azure), infrastructure-as-code, and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.) - Experience with business intelligence / data visualization tools (Looker, Metabase, Periscope, Mode, etc.) - A successful history of manipulating, processing and extracting value from large datasets and a curiosity for exploratory data analysis - The ability to execute independently with the input of cross-functional stakeholders - Adaptability to handle change and uncertainty at times; We are a startup after all! Bonus Points: - You have an understanding of applied statistics, are able to create quantitative models, and can clearly communicate findings to a technical and non-technical audience - You have domain knowledge of Banking or SaaS analytics, and are familiar with concepts like LTV, churn, retention, etc. - You have experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.) and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.) - You’ve joined a company at its early stages and have seen it through scale - Research shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications. If you don't have all the listed qualifications, we encourage you to apply anyway, and together we'll figure out if this is the best role for you! The Interview Proces ... (truncated, view full listing at source)