About the Role: 

As a Data Engineer, you will play an important role in our growing Business Intelligence team. You'll build out a new centralized Analytics Warehouse to help maintain our existing Operational Data Warehouse and the infrastructure that underlies both. We are looking for you to bring your expertise to creatively solve data complexity challenges of various sizes and levels of cleanliness - with the goal of enabling analysts and peers throughout Quickbase to make decisions backed by data.

You will:

• Extract data from various sources (Quickbase, NetSuite, etc.) and load into our data lake (Amazon s3) and ultimately our data warehouse (Snowflake)
• Create data models in Snowflake that support analytic needs 
• Synthesize business requests from stakeholders and translate key points into a workable technical solution
• Enable data self-service across the organization, with the organization using Tableau, and a Snowflake data warehouse
• Maintain Microsoft SQL Server warehouse and MS Business Intelligence stack
• Partner with stakeholders and business leaders to provide strategic support and recommendations for how data can best serve various departments, including Sales, Marketing, Customer Support, Finance, and Executives

Ideally, you'll have:

• At least 2+ years of professional experience in Data Engineering role
• Bachelor's degree in Computer Science, Information Systems, or a related field (or proven experience in these areas)
• 4+ years professional experience in BI, Data Analytics, and/or similar role
• Experience with using Snowflake and Amazon AWS tools and technologies (S3,RDS,EC2)
• Experience with analytic/relational data modeling concepts
• Proficient SQL skills 
• Experience in any of the programming skills (C++, Python, R, Java)
• Familiarity with orchestration tools and version control tools
• Ability to interpret stakeholder needs to provide data necessary to hit business goals
• Communication skills that enable relating complex technical problems or solutions to non-technical folks and vice versa
• Experience with Tableau, Power BI or DBT a plus
• Familiarity with backend data from common SaaS vendors such as Salesforce, NetSuite, Marketo, etc.
•  A "hands on" style and ability to wear multiple hats in an agile and fast-moving environment