WE ARE UNITED IN OUR MISSION TO MAKE A POSITIVE IMPACT ON HEALTHCARE. JOIN US!

• South Florida Business Journal, Best Places to Work 2024
• Inc. 5000 Fastest-Growing Private Companies in America 2024
• 2024 Black Book Awards, ranked #1 EHR in 11 Specialties
• 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold)
• 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara)

WHO WE ARE:

We Are Modernizing Medicine (WAMM)! We’re a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed’s global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany.
ModMed is looking for an exceptional Data Engineer with a passion for technology to help revolutionize the world of Healthcare IT. Data engineers are at the core of a data-driven business; they build and maintain the infrastructure that empowers analysts and data scientists to drive insights. We’ve built a team of passionate, creative, and innovative engineers and data scientists that are changing the world and having fun doing it!

You may be a great fit for Mod Med’s Data Engineering opportunity, IF…

• You are a gifted Data Engineer; passionate about technology in healthcare IT.
• You are a collaborator. You thrive in environments that freely exchange ideas and viewpoints.
• You are an innovator that believes in making a difference and having fun doing it.

SKILLS & REQUIREMENTS:

• Masters in Computer Science or equivalent work experience.
• 3+ years experience in a data engineering capacity.
• Strong knowledge of SQL and relational databases.
• Deep understanding and prior experience with Spark.
• Extensive knowledge and experience in Object-Oriented python.
• Understanding of data warehouse table design, star schemas, etc.
• Previous experience architecting and building data pipelines from 1st party and 3rd party data sources.
• Strong problem-solving skills, adaptable, proactive, and willing to take ownership.
• Strong commitment to quality, architecture, and documentation.
• Experience using AWS cloud services (S3, Athena, EMR, Kinesis).
• Experience with data pipeline technologies a plus (Airflow, Luigi).
• Experience with Talend ETL or similar a plus.
• Experience with business intelligence tools a plus (Tableau, Qlik).
• Experience with Databricks a plus.

• Develop and maintain data pipelines while achieving high reliability and efficiency.
• Help guide data infrastructure design and develop proof of concepts for recommended solutions.
• Liaison with engineering and product to help the Research team develop new data-products.
• Maintain documentation for the Data Warehouse and other data products.
• Design, develop, QA and maintain code related to data engineering.
• Provide thought-leadership and dependable execution on diverse projects.