Are you a data engineer who loves to design & build data infrastructure that provides the insights used to run a business? Interested in creating data models that solve real-world problems for an industry relatively untouched by technology? Then you are in luck because we are building a new data team here at Snapdocs and have the role you’ve been seeking.
Snapdocs is an early-stage, rapidly growing company backed by investors like Sequoia, SV Angel, and YCombinator. We're a small team tackling the absolutely massive mortgage market. We're bringing modern, elegant software (read security, efficiency and joy) to a pillar of the US economy that still relies on fax machines and manila envelopes.
At Snapdocs our engineers own the features they work on as opposed to just following a list of requirements. The types of problems we focus on involve workflow, product design, and data. For instance, we’re working to find a good authentication pattern that allows for people to work across companies in multiple roles (which is trickier than you might think!). And now we are looking for a passionate Data Engineer with experience building data infrastructure, ETL’s, & data warehousing solutions.
The aim of the Data Team at Snapdocs is to facilitate data-driven decisions with analytics and automate manual processes across the organization with machine learning. As the Founding Team Member, you will choose tools, create data processes, development best practices, construct data models, build pipelines & design scalable DB architecture schemas that make our data more reliable. You will work with engineers, bizops teams, and data scientists to design data integrations appropriate for analytics and machine learning applications. You will also have an opportunity to help our data scientist take machine learning models into production.
Upon completing your BS/BA in a technical field like Computer Science, Mathematics or Statistics, you joined the startup world to apply your data expertise to a growing business. Over the past 2+ years you have mastered object-oriented programming (Java/Python), custom ETL design, data warehousing, schema design and dimensional data modeling. SQL statements flow from your fingers with ease. You can take 2 million rows of data, spin up MapR or MPP system to provide real-time operations and analytics without breaking a sweat. While your keen eye means you’re great at identifying deliverables, gaps and inconsistencies within the data, you also have the expertise to create actionable strategies for performance enhancements, including streamlining of data sources.
Snapdocs’ culture is one that strongly values diversity and drive. We want to work with people of different backgrounds and different paths in life, and we trust our team members to make smart decisions. This means we value independent work as well as collaboration. We provide excellent benefits (including a 10 year exercise window on your options (!)) and our location in the heart of the Financial District in SF is super convenient.