Are you a seasoned data professional with a passion for building robust, scalable data systems? Join our team as a Senior Data Engineer and play a pivotal role in developing and optimizing clinical data registry platforms that drive healthcare innovation. In this dynamic position, you’ll balance the excitement of new development with maintaining and enhancing production systems, ensuring data reliability and performance across large-scale environments. If you thrive in a fast-paced, collaborative setting and have a knack for solving complex data challenges, this is your opportunity to make a meaningful impact.
What You’ll Bring to the Table:
- 8+ years of proven experience in data engineering and architecture
- Advanced SQL and Python skills, with a strong grasp of large-scale data lakes and warehouses
- Expertise in designing and supporting automated ETL/ELT pipelines
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP
- Solid understanding of production system support, monitoring, troubleshooting, and optimization
Nice to Have Skills:
- Spark / PySpark experience
- Agile methodologies and DevOps practices
- Automation scripting proficiency
- Data modeling and visualization tools knowledge
- Familiarity with monitoring and observability tools
- Relevant certifications (Azure, AWS, GCP)
Preferred Education and Experience:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- Extensive experience in data engineering within healthcare or similar regulated industries
Other Requirements:
- Ability to collaborate effectively in an Agile environment
- Strong problem-solving skills and attention to detail
- Willingness to support both development and operational tasks as needed
Ready to lead transformative data projects and innovate at the intersection of healthcare and data technology? Apply now and take the next step in your career journey!