We are united in our mission to make a positive impact on healthcare. Join Us!
Who we are:
We Are Modernizing Medicine (WAMM)! Were 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! ModMeds 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.
We are looking for a Data Engineer 2 to support our growing AI initiatives in the Revenue Cycle Management (RCM) and KLARA domain. The ideal candidate will have strong experience in building scalable data pipelines handling complex data transformations and ensuring data readiness for machine learning and analytics models. You will work closely with data scientists and analysts to deliver high-quality production-ready datasets and pipelines.
Design develop and maintain scalable ETL/ELT pipelines to support AI/ML workflows in the RCM space.
Work with structured and semi-structured data from diverse healthcare and financial systems.
Build and optimize data ingestion and transformation logic using PySpark Python and SQL.
Implement and manage DataOps pipelines including data quality checks logging monitoring and automated testing.
Schedule and orchestrate pipelines using tools like Airflow Databricks Workflows or Azure Data Factory.
Optimize SQL queries and Spark jobs to ensure performance and cost-efficiency.
Collaborate with data scientists to ensure timely delivery of clean well-structured data for model development and deployment.
Ensure adherence to data governance security and compliance policies in healthcare data environments.
Strong proficiency in Python and PySpark for data processing
Advanced SQL skills including query optimization and complex joins
Hands-on experience with data pipeline tools (e.g. Airflow Databricks ADF Glue)
Experience building data pipelines for AI/ML use cases
Good understanding of data modeling data validation and error handling
Familiarity with healthcare or RCM data structures (claims encounters EDI 837 etc.) is a plus
Knowledge of cloud data platforms (e.g. AWS Redshift Azure Synapse Snowflake)
Experience with CI/CD for data pipelines
Exposure to data versioning tools (e.g. DVC) or data cataloging systems
Familiarity with ML lifecycle and MLOps requirements
Bachelors degree in Computer Science Information Systems Data Engineering or related field
Certifications in cloud platforms (AWS Azure) or data engineering tools are a plus
ModMed Benefits Highlight: At ModMed we believe its important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:
India
United States
PHISHING SCAM WARNING:ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email text and social media. The imposters are creating misleading email accounts conducting remote interviews and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process and valid communications from our hiring team will come from our employees with a ModMed email address (). Please check senders email addresses carefully. Additionally ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above please report them to the FTC website.
Improve efficiency and treatment outcomes with Modernizing Medicine's specialty-specific EHR systems and healthcare suites built by specialty physicians.