Software Engineer I

Educational Qualification • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Qualifications

• 0–3 years of experience in software development or data engineering.
• Strong knowledge of SQL and relational database concepts.
• Hands-on experience with Snowflake.
• Experience working with Databricks and Apache Spark concepts.
• Proficiency in Python for data processing and automation.
• Understanding of ETL/ELT processes and data warehousing concepts.
• Familiarity with data modeling and database design principles.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Good to Have
• Experience with Power BI for reporting and dashboard development.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Git version control and CI/CD practices.
• Understanding of Agile development methodologies.
• Educational Qualification
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.
• Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com
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Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows.
• Develop and optimize SQL queries, stored procedures, and database objects.
• Build and manage data solutions using Snowflake and Databricks.
• Develop data processing and transformation scripts using Python.
• Monitor and troubleshoot data pipeline issues to ensure data quality and reliability.
• Collaborate with business stakeholders, analysts, and engineering teams to understand data requirements.
• Support data validation, testing, and performance optimization activities.
• Document technical designs, processes, and data flows.