Sr. Data Engineer

About the role

We're an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we're obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you'll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally.

Responsibilities

• Lead the design and implementation of scalable, robust data architectures supporting enterprise-level data solutions
• Design, build, and maintain complex ETL/ELT pipelines integrating data from diverse sources (APIs, cloud platforms, databases)
• Own and deliver high-impact, complex data engineering projects end-to-end
• Provide technical assistance to junior and mid-level data engineers
• Establish and enforce data engineering best practices, standards, and governance
• Collaborate with cross-functional teams and client engineering teams to define data integration strategies and requirements
• Monitor, troubleshoot, and optimize data pipeline performance, scalability, and reliability
• Drive improvements in data quality, observability, and operational efficiency
• Ensure data security, privacy, and compliance through proper architecture and Azure policies
• REQUIRED QUALIFICATIONS:
• Bachelor's degree in computer science, information systems, or a related field
• 6+ years of experience in cloud data architecture, design and data governance
• Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse
• Proficiency in programming languages, such as SQL, Python, Scala, or Java
• Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure
• Knowledge of various data storage solutions, such as relational databases, etc.
• Creating & Managing documentation on methodologies, tools and techniques
• Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders
• Ability to lead complex projects and assist team members
• Willing and able to work irregular hours as needed

Benefits

Additional Information

Join Aya Healthcare, winner of multiple Top Workplace awards! We are looking for a highly experienced Senior Data Engineer to join our Data Operations team! In this hands-on senior role, you will design, develop, and optimize large-scale, high-volume, high-performance data infrastructure and pipelines for client integrations. You will play a key role in shaping our data architecture, leading complex initiatives, and mentoring junior team members. This is an opportunity to join a nimble team working in a fast-paced environment where your expertise, leadership, and strategic thinking will directly impact the business.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at ayahealthcare? Share your experience