Manager of Data Engineering

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

eNGINE is seeking a Manager, Data Engineering for a growing organization in the healthcare industry. This individual will lead a team of 8 Data Engineers while overseeing the architecture, reliability, and scalability of enterprise data platforms. This is primarily a people management role, but the ideal candidate will have a strong technical background and the ability to remain hands-on when needed.

Responsibilities

• Lead, mentor, and develop a team of 8 Data Engineers, overseeing performance, technical growth, and project delivery.
• Own and manage the enterprise data engineering platform, including Databricks, Delta Lake, and medallion architecture (Bronze, Silver, Gold).
• Oversee enterprise data warehouse (EDW) design, development, operations, and ongoing optimization.
• Establish engineering standards for pipeline development, code quality, testing, documentation, and deployment.
• Provide technical guidance and remain hands-on when necessary to troubleshoot complex issues, review code, and support architectural decisions.
• Drive improvements in data pipeline reliability, scalability, performance, and cost efficiency.
• Collaborate with Analytics, QA, Data Governance, and other cross-functional teams to ensure data quality and platform reliability.
• Support the development of event-driven and real-time data ingestion solutions utilizing Azure technologies.

Requirements

• 7+ years of professional data engineering experience, including at least 2 years in a management or technical leadership role.
• Proven experience managing and mentoring Data Engineering teams.
• Strong hands-on experience with Databricks, Delta Lake, and medallion architecture.
• Proficiency in Python, PySpark, and SQL.
• Experience with Azure cloud technologies, including Azure Databricks, Azure Data Lake Storage, and Azure Event Hubs.
• Strong understanding of enterprise data warehouse architecture, ETL/ELT pipelines, and production data environments.
• Ability to balance team leadership responsibilities with technical oversight and occasional hands-on engineering.
• Excellent communication, problem-solving, and cross-functional collaboration skills.

Preferred Qualifications

• Experience working within healthcare, pharmaceutical, specialty pharmacy, or other regulated industries.
• Experience with Unity Catalog, Structured Streaming, Kafka, or event-driven data architectures.
• Familiarity with data governance, data lineage, pipeline observability, and quality assurance practices.
• Experience with tools such as Datadog, Monte Carlo, Atlan, or Collibra.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Interested? Apply today or connect with eNGINE to learn more about this opportunity!

*No C2C, 3rd party, or referral candidates.