**Project Description**: Our client is a privately held corporation operating in the US. Their activities span the North American region, serving global clients in the semiconductor, drug discovery, biopharmaceutical, and clinical research markets. For this opportunity we plan to assign resources dynamically according to needs. This means an engineer may move fluidly across multiple projects if necessary. **Requirements**: - Strong experience with Big Data and/or emerging data technology tools and methodologies. - Proficiency with Python (e.g Pandas) and use in data processing solutions. - Prior experience converting Jupyter Notebooks into production processes. - Experience with workflow automation tools like Github Actions - Experience working in an iterative/incremental development environment. - Experience with Airflow, Lambda, and Docker and use in implementing web services. - Follow clean coding principles and enjoy working in a Test Driven Design (TDD) environment - Experience with Data Visualization tools such as Tableau is a plus.