Data Engineer II

R1 RCM

23d

About The Position

As our Data Engineer II, you will join our engineering team that is responsible for building the state-of-the-art data platform foundation for the company. Each day, you will design, develop, and maintain software applications that handle and process large volumes of data. To thrive in this role, you must have excellent problem-solving and analytical skills, with excellent verbal and written communication skills R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. Here’s what you will experience working as a Data Engineer II: Designing, developing, and maintaining software applications that handle and process large volumes of data. Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data. Building and optimizing data models and databases for performance and efficiency. Writing code to extract, transform, and load data from various sources into data warehouses or data lakes. Implementing data quality checks and data governance processes to ensure data accuracy and consistency. Troubleshooting and resolving software and data-related issues. Working with big data technologies such as Hadoop, Spark, and Kafka. Conducting performance testing and optimization of software applications that handle large datasets. Strong problem-solving, analytical thinking, and communication skills are also essential for this role.

Requirements

• Minimum 2 years’ experience as a professional software developer using modern programming or scripting languages required.
• 2 years’ experience following a structured Software Development Methodology that has a defined software development life cycle, with recent Agile experience preferred.
• Excellent problem-solving and analytical skills with excellent verbal and written communication skills.
• Must be able to work effectively within a team (positive, process-oriented).
• Experience using one of the following programming languages: Java, Scala, Python

Nice To Haves

• Experience in Big data technologies like Spark, Hadoop, Kafka is a plus.
• Experience with Databricks and/or Snowflake is a plus.
• Experience in Cloud technologies like Azure or AWS is preferred.

Responsibilities

• Designing, developing, and maintaining software applications that handle and process large volumes of data.
• Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data.
• Building and optimizing data models and databases for performance and efficiency.
• Writing code to extract, transform, and load data from various sources into data warehouses or data lakes.
• Implementing data quality checks and data governance processes to ensure data accuracy and consistency.
• Troubleshooting and resolving software and data-related issues.
• Working with big data technologies such as Hadoop, Spark, and Kafka.
• Conducting performance testing and optimization of software applications that handle large datasets.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees