Senior Data Engineer, Regard

• BS in Computer Science, Mathematics, Statistics, related data field or equivalent experience
• 5+ years of experience in data engineering roles building data pipelines
• 3+ years of experience in public cloud provider technologies (AWS tooling such as Glue, Kinesis, DMS strongly preferred)
• Expertise in SQL
• Expertise in a programming language used for data engineering (Python preferred)
• Experience with a business intelligence platform such as (Tableau, Looker, Metabase, Quicksight, etc)
• Able to travel up to 4 weeks a year for company co-working and/or retreat weeks

Desirable

• As our first Senior Data Engineer at Regard, you’ll be involved in all stages of building our next generation of data infrastructure
• Your primary objective will be to develop high-quality data architecture solutions which will be used for customer analytics, product & engineering insights, and business intelligence
• You will architect and build our data platform from the ground up, select tools, codify best practices, and lead and mentor others
• Build batch and real-time data pipelines to aggregate data from multiple source systems into a data warehouse
• Establish new data warehousing architecture and collaborate with product to build out Regard’s source data models for usage in analytics, BI, and future data projects
• Support existing BI and analytic tools (Metabase, etc) while transitioning toward a new architecture
• Integrate architecture and tooling into automated infrastructure as code to enable automated build out of new data pipelines for new customers
• Support analytics and BI customer product needs through modification of data warehouse schemas and ETL tooling as well as support in utilizing BI tooling
• Support integration of BI tooling into analytics data warehouse
• Build and support data pipelines through integration with monitoring and alerting systems and in providing operational support for those pipelines / ETLs