REMOTE Data Engineer

As a Data Engineer on our clients team you will work in a team together with Data Scientists, Software Engineers and Product Managers to drive Innovation and Technical solutions into the practice. Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines, development of data quality solutions, and continuous evaluation of technologies to continue to enhance the capabilities of the Data Engineer team and broader Innovation group.

Python and SQL expert;

Python and experience with data extraction, data cleansing and data wrangling;

SQL and experience with relational databases;

Experience working with business teams to capture and define data models and data flows to enable downstream analytics;

Data modeling, data mapping, data governance and the processes and technologies commonly used in this space

Data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools

API based data acquisition and management.

Relational SQL, distributed SQL and NoSQL databases including, but not limited to, MySQL, MemSQL, MongoDB, Cassandra

Data modeling tools such as ERWin, Enterprise Architect, Visio, etc.;

Data integration tools such as Talend, Informatica, SnapLogic, etc.;

Cloud technologies such as SaaS, IaaS and PaaS within Azure, AWS or Google;

Linux and proven comfort level with bash scripting;

Securely handling data both in motion and at rest such as communication protocols, encryption, authentication, and authorization;

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.