R1 RCM is Hiring Software Engineer I (Data) | Noida | Freshers-3 Years

Job Description

R1 RCM's 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐈 opening is worth a closer look for its 𝐦𝐨𝐝𝐞𝐫𝐧 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 𝐟𝐨𝐜𝐮𝐬 at a company operating in a specialized industry — healthcare revenue cycle management (RCM), meaning the software here supports the financial/billing side of healthcare operations (things like claims processing, payment reconciliation, and revenue tracking for hospitals and physician practices) rather than clinical or patient-facing systems. This gives the role a genuinely distinctive domain, worth knowing about if you're interested in 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞-𝐚𝐝𝐣𝐚𝐜𝐞𝐧𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 without needing clinical/medical background knowledge.

The technical requirements here are notably specific and modern — 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 and 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 are called out as 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬, not just "nice to have" exposure, which is a meaningfully more advanced ask than many fresher data engineering listings that stick to basic SQL and Python. This suggests R1 RCM's data infrastructure has already moved to modern cloud-native data platforms, and candidates should genuinely understand these tools rather than just recognize the names — worth building at least a basic personal project on Snowflake's free trial or Databricks Community Edition if you're preparing to apply and don't have this exposure yet.

The 𝟎–𝟑 𝐲𝐞𝐚𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐫𝐚𝐧𝐠𝐞 (rather than a strict "0-2" fresher band) suggests this listing accepts candidates with meaningfully more experience than a typical fresher role — worth knowing you may be competing against candidates with up to 3 years of prior data engineering work, which raises the practical bar even though "Software Engineer I" and the broad range technically make it fresher-accessible on paper.

𝐎𝐮𝐫 𝐓𝐚𝐤𝐞:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: CS/IT graduates with genuine hands-on 𝐒𝐐𝐋, 𝐏𝐲𝐭𝐡𝐨𝐧, and modern cloud data platform experience (𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, or similar), interested in healthcare technology specifically

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: those with only theoretical SQL/database coursework and no exposure to modern cloud data warehousing tools — the 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞/𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 requirements are stated as hands-on, not aspirational

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: moderate-to-high given the specific modern tool requirements combined with a wide experience band that includes candidates with up to 3 years of prior experience

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: commonly leads into 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, or 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 roles, with healthcare RCM domain experience being a valuable, specialized credential for future roles at health-tech or healthcare-adjacent companies

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: R1 RCM hasn't disclosed pay for this role. Software Engineer I / Data Engineering roles at healthcare technology/RCM companies in Noida typically range around ₹𝟓–𝟖 𝐋𝐏𝐀 depending on actual experience level and Snowflake/Databricks proficiency, based on general market data for comparable modern data engineering roles — this is an estimate only, and given the wide experience band accepted, actual offers could vary significantly.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Since 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 and 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 are stated as hands-on requirements rather than nice-to-haves, prioritize building genuine familiarity with these specific platforms before applying — even a small personal project using Snowflake's free trial (loading sample data, writing queries) or Databricks Community Edition (running a basic PySpark notebook) would directly address the core technical ask and differentiate you from candidates with only generic SQL/Python knowledge.

Roles & Responsibilities

The responsibilities center on building and maintaining the data infrastructure that supports business decision-making — a full pipeline lifecycle from development through monitoring and stakeholder collaboration.

- 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 for data quality and reliability

- Collaborate with business stakeholders, analysts, and engineering teams on data requirements

- Support data validation, testing, and performance optimization

- Document technical designs, processes, and data flows

Qualifications & Eligibility

Straightforward degree requirement paired with a notably wide experience band.

- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

- 0–3 years of experience in software development or data engineering

Skills Required

Core requirements lean toward genuine hands-on modern data platform experience rather than introductory-level knowledge.

- Strong SQL and relational database concepts

- Hands-on experience with Snowflake

- Experience with Databricks and Apache Spark concepts

- Python proficiency for data processing and automation

- Understanding of ETL/ELT processes and data warehousing concepts

- Data modeling and database design principles

- Good to have: Power BI, Azure/AWS/GCP exposure, Git/CI-CD, Agile methodologies