RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.
At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goal—helping people.
We’re searching for a Senior Data Engineer to join our Data Platform team, so that we can build and maintain robust infrastructure for handling large-scale data processing and storage. The Senior Data Engineer will design and implement efficient data pipelines and storage solutions to ensure reliable and scalable data management within the company.
How You’ll Spend Your Time
- Designing and implementing efficient ETL (Extract, Transform, Load) data pipelines to integrate data from multiple sources into centralized repositories.
- Developing data lake solutions based on the medallion architecture (Bronze, Silver, Gold) to ensure structured data processing.
- Implementing data governance and security policies within the data lake to maintain compliance and data integrity.
- Automating data pipeline execution and monitoring to enhance efficiency and reduce manual intervention.
- Developing and maintaining Python scripts for data processing, automation, and integration to streamline workflows.
- Monitoring and troubleshooting data pipelines to detect and resolve issues, ensuring reliable data flow and minimal downtime.
- Optimizing data storage and retrieval methods using indexing, partitioning, and caching techniques to enhance performance.
- Implementing data security and privacy protocols, ensuring compliance with industry standards through encryption and access controls.
What Kind of Things We’re Most Interested in You Having
- Extensive experience in a data-related role, with hands-on experience in large-scale data engineering, preferably Databricks.
- Proven success in designing and maintaining complex data pipelines and storage solutions.
- In-depth knowledge of programming languages, specifically Python and SQL.
- Expertise in data management, data architecture, and data visualization techniques.
- Experience with data processing frameworks like Apache Spark, Hadoop, or Flink.
- Strong understanding of database systems (SQL and NoSQL) and data warehousing technologies.
- Familiarity with cloud computing platforms (AWS, Azure) and data security measures.
- Certification in data engineering (e.g., Certified Data Engineer, AWS Certified Big Data) is a plus.
- A knack for working collaboratively within a cross-functional team environment.
By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.
RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law.
As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to .
Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration
