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India
We are united in our mission to make a positive impact on healthcare. Join Us!
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.
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
Bachelor's 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 it's 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 (first.lastname@modmed.com). 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.
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