Data Engineer

Duties • Develop ETL processes to move third-party data into our data warehouse from data providers and vendors’ products where colleagues in Policy engage in project management and government affairs activities. • Configure data to be loaded and/or visualized into other environments, with a focus Salesforce CRM instance, sandcastle apps, and micro-services built in hyper tooIs. Implement a refresh cadence for each source based on value and how often it’s updated. • Design, implement, and maintain data pipelines to connect internal and external data. This foundational data set drives ML models that predict where legislative challenges/opportunities are likely to arise and the users most likely to engage politically. • Partner with Policy technical peers, Biztech Engineering, and Data Science to expand foundational policy data, connecting geospatial and core business metrics. Requirements • Expertise in data and analytics engineering and architecture. • Expertise in Python • Expertise in SQL. • Experience leveraging disparate data sets, in particular legislative/regulatory/economic/geospatial. • Expertise in transforming data to be leveraged for self-service data visualization resources. • Experience building and implementing ML models is a plus • Talent for breaking down complex technical concepts into common language and acting as a bridge between technical and departmental stakeholders. • Experience working with complex and big data systems across a multitude of relationships and metrics. Ability to apply a creative and nuanced perspective to look beyond common data indicators in order to meet business goals. • Ability to self-serve and take the initiative to find answers to technical questions. Compensation • $94.72 – 103.45/hr W—2 Req ID • 37062348