About the job
Join Aya Healthcare, recognized with multiple Top Workplace awards, as a key member of our Data Operations team!
In this dynamic position, the ideal candidate will take charge of designing, developing, and implementing robust, high-volume data infrastructures and pipelines for seamless client integrations. A strong foundation in cloud data architecture and management on the Azure platform is essential. You will be part of an agile team that thrives in a fast-paced environment, where your insights and expertise are valued.
WHO WE ARE:
Aya Healthcare is a rapidly expanding workforce solutions provider within the healthcare sector, valued at over $8 billion. We specialize in delivering tech-driven services that empower healthcare organizations to manage their contingent labor needs effectively. Our proprietary software platform facilitates the creation and management of tech-enabled marketplaces connecting national and local healthcare talent.
At Aya, we prioritize exceptional experiences for our clients, clinicians, and employees alike. Employee satisfaction is our top priority, as we believe that happy employees are key to maintaining satisfied clients. We champion an entrepreneurial, energetic, and low-bureaucracy culture that values innovative thinking and creative problem-solving. Our commitment to diversity in thought and background is unified by a shared goal of achieving excellence. When you join Aya, you will collaborate with teammates who genuinely care about you and leaders who support your personal and professional growth.
RESPONSIBILITIES:
- Monitor and troubleshoot data pipeline and warehouse quality and performance issues to ensure seamless operation while proactively addressing potential bottlenecks.
- Design, build, and maintain scalable ETL/ELT pipelines to facilitate data transfer between clients and diverse sources, including APIs, cloud storage, and databases.
- Collaborate with client engineering teams to comprehend their data structures, pinpoint source systems, and contribute to technical integration requirements.
- Stay abreast of industry trends and advancements in data engineering, bringing innovative ideas to continuously enhance our data processes.
- Implement robust Azure policies, procedures, and encryption methods to ensure data security, privacy, and compliance.
- Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions on Azure.

