Senior Data Engineer

ZestFinance is a technology startup that uses machine learning and large-scale data analysis to transform credit availability for millions of Americans. Over the past 5 years, ZestFinance has built a big data underwriting technology that more accurately predicts likelihood of repayment. ZestFinance uses this technology to make loans to customer that banks typically overlook. ZestFinance also licenses its technology to other companies, including JD.com in China.

ZestFinance is excited to be looking for a Sr. Data Engineer! You will be joining a highly-skilled software engineering team where you will be able to contribute your expertise ranging from data pipeline design/development to operationalizing services for production.

* Work with Modeling, Product and Business to define requirements, design and build the next generation of ZestFinance product roadmap features. * Identify and evangelize programming best practices with the Data Engineering and Modeling teams. * Work closely with Analysis to ensure quality & availability of data in the Data Warehouse (Amazon RedShift), along with support of our Business Intelligence platform (Looker) * Lead and participate in design / architecture reviews, as well as code reviews and walkthroughs. * Design/Implement robust end-2-end ETL pipelines (Spark) * Develop solutions with a mind towards quality, scalability and high performance on large data sets

* 8+ years experience in a senior developer or data engineer role * Hands-on coding experience in R, Python, Scala or similar * Solid foundation with Data Science workflow, experience with Pandas and Scikit-Learn preferred * Experience with distributed processing frameworks like Amazon EMR and Spark * Experience working with high volume heterogeneous data * Amazon Web Services, e.g. RedShift, EMR, VPC, RDS, S3, and Route53 * Docker for provisioning servers and deploying applications/services * Excellent verbal and written communication skills including the ability to explain technical issues to a non-technical audience * Strong work ethic and a can-do attitude * B.S. in Computer Science or equivalent experience