How you will help
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.
What you will do
- 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.
Our Tech Stack: Our team leverages the following technologies in our day-to-day development process:
GitHub (CI/CD Flow-GHA), Python, Postgres, AWS (CDK, Lambda, S3, EMR, ECS, SQS, EventBridge, AuroraDB, CloudWatch), Spark, Databricks (SQL, Delta Live Tables, Unity Catalog, Audit Logs, Workflow), Docker/Kubernetes, Airflow, Hive SQL, Terraform, YAML, Helm Charts.
How success is defined
- Build and mentor a high-performing data engineering team, fostering innovation and collaboration.
- Develop scalable, high-performance data pipelines that support R&D initiatives.
- Deliver innovative data solutions in collaboration with researchers, data scientists, and engineers.
- Automate workflows, optimize data reliability, and drive best practices in data security and efficiency.
Required skills and experience
- 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.
Base salary for the role is commensurate with experience and can range between $120,000 - 189,000 + annual bonus opportunity.
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at lease once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity synchronizes transformational technologies with the nation’s largest healthcare and consumer data ecosystem to power previously unattainable outcomes and fundamentally advance the science. We offer a comprehensive, yet flexible approach, based on the foundational elements of Identity, Privacy, Governance and Exchange (IPGE), that synchronizes unparalleled Identity management with built-in Privacy compliance and Governance, providing the ability to discover and Exchange a near limitless combination of data at a record pace. Together with our partners in life sciences, government and insurance, we are Synchronizing the Science. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer a 401(k) plan and stock options. Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
Top Skills
What We Do
Pharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy.
