Data Engineer 2 at Modernizing Medicine Inc

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

0.0

Posted On

29 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, SQL, Data Pipeline Tools, Data Modeling, Data Validation, Error Handling, Cloud Data Platforms, CI/CD, Data Versioning Tools, Data Cataloging Systems, ML Lifecycle, MLOps, Healthcare Data Structures, ETL/ELT Pipelines, Data Governance

Industry

Software Development

Description

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. 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. Key Responsibilities: 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. Must-Have Skills: 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 Nice-to-Have Skills: 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 Educational Qualifications: 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 Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. 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.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines to support AI/ML workflows in the RCM space. Collaborate with data scientists to ensure timely delivery of clean, well-structured data for model development and deployment.