Lead Data Engineer

About Egen: Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. -> Meet Egen -> Life at Egen -> Culture and Values at Egen -> Career Development at Egen About the opportunity: Are you an experienced Data Engineer ready to make a significant impact on healthcare? Join our dynamic team in Nashville and help us revolutionize patient care through data-driven innovation. As a Senior Data Engineer , you will play a pivotal role in driving our ML and data engineering initiatives. You will collaborate with cross-functional teams to design, develop, and deploy robust data solutions that enable data-driven decision-making and improve patient outcomes. About the job:: Design, architect, develop, support GCP data pipelines to extract, load, and transform data Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and supported (i.e. documentation) Work with the project team, estimate and plan the work effort Attend daily team standups Work with business analysts and project management to review business requirements and and produce technical design specs that will meet the requirements About you:: 5+ years of hands-on experience as a Data Engineer or Data Architect Proven track record leading technical projects and teams Expert proficiency in Google Cloud Platform (GCP) tools, including: Google Cloud Storage (GCS), BigQuery, Cloud Composer/Airflow, Dataproc/Spark Strong data analysis and problem-solving skills Proficiency in a Business Intelligence (BI) tool Advanced SQL skills, including writing, tuning, and interpreting complex SQL queries Experience writing and maintaining Unix/Linux shell scripts Solid understanding of Data Build Tool (DBT) Experience with CI/CD pipelines Machine Learning experience Proficiency in developing Python-based ELT data pipelines Expertise in optimizing GCP BigQuery SQL queries and scripts