Data Engineer III

As a Data Engineer III at R1, you will be responsible for collaborating with Agile teams to develop, test, implement, and support technical solutions that enhance our automated data lake solution. You'll work closely with teams experienced in analytics to centralize data effectively, and share your enthusiasm for experimenting with new technologies to keep our solutions cutting-edge.

To qualify for the Data Engineer III position at R1, candidates should have at least 3 years of experience in software engineering or data engineering. Expert knowledge of Scala and Spark is essential, as well as experience in building complex ETL pipelines using modern orchestration tools. Familiarity with SQL and NoSQL databases, distributed system architectures, and experience in the healthcare industry are highly beneficial.

At R1, a Data Engineer III will engage with advanced technologies including Scala and Spark, as well as modern data pipeline orchestration tools for ETL processes. You may also encounter cloud environments such as Azure and tools like Databricks, especially if you have experience in those areas. Your role will be pivotal in leveraging these technologies for health system analytics.

Yes, the Data Engineer III position at R1 is fully remote, allowing you to contribute to our innovative work while enjoying the flexibility of working from home in the USA. Our company values a work-life balance and provides the tools and support necessary to help you succeed in a remote environment.

For the Data Engineer III role at R1, the base pay ranges from $75,504.00 to $134,521.77 per year, depending on the candidate's experience, skills, and education. Additionally, this position is eligible for an annual bonus plan targeting 10.00%, making it an attractive compensation package.

When answering this question, focus on a specific project where you faced significant challenges. Detail your role, the technologies used, how you approached the challenges, and the ultimate outcome. This not only shows your problem-solving skills but also your technical expertise relevant to the Data Engineer III position at R1.

Discuss your experience with various ETL tools and methodologies. Highlight the importance of performance tuning, data quality checks, and monitoring in optimizing ETL processes. Provide specific examples where these strategies improved efficiency or reduced bottlenecks in data processing.

Express your understanding of data validation, transformation consistency, and error handling protocols. Mention your experience with tools or techniques used for validating and cleaning data from both primary and secondary sources to maintain accuracy for analytics.

If you have experience with Azure, discuss specific services you've used for data storage, processing, and analytics. Highlight how you leveraged cloud capabilities for scalable architecture, security measures, and cost efficiency in your data projects, showing how this aligns with R1's technological needs.

Talk about your understanding of distributed system architecture, its benefits, and challenges. Use examples from your previous work where you designed or interfaced with distributed systems, emphasizing how your contributions improved system performance or reliability.

Mention your methods for keeping up-to-date, such as attending webinars, taking online courses, or participating in tech forums specific to data engineering. Share any resources that have particularly influenced your approach to your work and learning.

Detail the techniques and best practices you follow for data transformation, such as using transformation scripts, leveraging ETL tools, or applying data modeling techniques. Provide examples where these methods have successfully improved data usability for analytics.

Elaborate on your experience working with cross-functional teams, emphasizing your communication skills. Describe any specific strategies you've used to align various teams towards a common data centralization goal, illustrating your collaborative approach.

Share a specific situation where you had to adapt to a new technology under tight deadlines. Discuss your learning strategies and how you applied that knowledge effectively, showcasing your ability to grow and thrive in fast-paced environments.

Reflect on R1's mission and values. Share how your career goals align with the company's vision and how you can contribute to its innovative projects. Show your enthusiasm for the opportunity to work in the healthcare sector and your commitment to making a meaningful impact.