Manager, Data Engineering - Remote Opportunity

Manager, Data Engineering 

Overview: 

Are you passionate about using data to drive better healthcare outcomes? We’re seeking an experienced Manager of Data Engineering to lead our efforts in building modern data solutions that empower clinicians, administrators, and executives with actionable insights. In this role, you’ll manage a growing team and play a pivotal part in our cloud-first data transformation strategy using Azure technologies, including Azure Databricks. 

Join us in our mission to improve patient care through data innovation. 

Responsibilities:

• Lead and mentor a team of data engineers (onshore and offshore) in building scalable, secure, and high-performing data solutions.
• Oversee the development and maintenance of our enterprise data warehouse and data lake, aligning them with healthcare data standards and regulatory requirements (e.g., HIPAA).
• Design and optimize data pipelines using Azure Databricks, Spark, and other Azure data services to ingest, transform, and deliver healthcare data from multiple sources, including EMRs, claims, and patient portals.
• Collaborate with clinical, operational, and analytics teams to deliver reliable, self-service data and insights.
• Ensure robust data governance, privacy, and quality practices across the organization.
• Drive adoption of Agile and iterative development practices within the team.
• Play a key role in workforce planning, hiring, coaching, and performance management.
• Communicate data strategy, roadmap, and results clearly to leadership and cross-functional teams. 

Education/Qualifications:

• Bachelor’s degree in computer science, Information Systems, or a related field (or equivalent experience).
• 7+ years of experience in data engineering or related roles, with 2+ years in a leadership or people management capacity.
• Strong background in SQL, data modeling, and ETL/ELT development.
• Hands-on expertise with Azure Databricks, including:
• Building Spark-based data pipelines
• Managing cluster performance and cost optimization
• Integrating with Azure Data Factory and Data Lake Storage.
• Deep understanding of Azure cloud architecture and healthcare-specific data challenges.
• Familiarity with healthcare data formats and standards, such as HL7, FHIR, or claims data.
• Proficiency in BI tools like Power BI, Tableau, or Sigma.
• Strong communication skills and the ability to collaborate with technical and non-technical stakeholders.