Manager of Data Engineering - Remote

Overview

As Manager of Data Engineering on the R&D Team, you will lead a team of engineers developing scalable data solutions to support HealthVerity’s research and innovation efforts. You will collaborate with software engineers and product teams to design high-performance data architectures that enable cutting-edge analytics and real-world data applications. Your leadership will drive efficient data pipelines, ensuring data integrity, accessibility, and compliance in a fast-paced, research-driven environment.

In Short

• Lead and mentor a team of 5–10 data engineers, fostering technical excellence and growth.
• Design and optimize scalable data pipelines to process large structured and unstructured datasets.
• Collaborate with researchers, data scientists, and engineers to develop high-quality data solutions.
• Enhance data storage, retrieval, and processing capabilities for advanced analytics.
• Ensure data security, privacy, and regulatory compliance.
• Automate and optimize data engineering processes for efficiency and scalability.
• Integrate data solutions into HealthVerity’s R&D ecosystem.
• Evaluate emerging technologies to improve data infrastructure and innovation.
• Monitor and resolve data quality issues proactively.

Requirements

• 2+ years managing a team of 5–10 engineers in data engineering or R&D environments.
• 8+ years in data engineering, designing and developing scalable data solutions.
• Strong proficiency in Python, Java, or Scala, with advanced SQL skills.
• Experience with big data frameworks (Databricks, Spark, Hive, Iceberg, Kafka, Snowflake).
• Hands-on experience with AWS (S3, Lambda, EMR, ECS, AuroraDB).
• Expertise in distributed data pipelines for batch and real-time processing.
• Proficiency in CI/CD pipelines, DataOps, and Infrastructure as Code (Terraform, YAML, Helm Charts).
• Strong leadership, communication, and cross-functional collaboration skills.
• Experience in data governance, modeling, and quality management for research-driven analytics.
• Healthcare or life sciences data experience is a plus, especially in regulated environments.

Benefits

• Competitive base salary & annual bonus opportunity.
• 401(k) plan and stock options. Health, dental, and vision coverage start on day 1.
• Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area.
• Generous PTO targeted at 4 weeks per year, including vacation, personal and sick time.
• 12 weeks paid parental leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
• Comprehensive onboarding with mentorship program and resources available from day 1.
• Professional development support with biweekly 1:1s and an annual budget for pursuits.