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.

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.

Hiring Locations

We prioritize hiring team members from the Philadelphia area whenever possible, as our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required two days a week. However, for certain roles, we’re also open to hiring from our hub locations, where we have groups of remote workers. Please note that, due to tax and labor regulations, we can only hire from specific states, but remote work is supported in the following key hubs 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: CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, RI, TN and VA.

About HealthVerity

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 at the end of every week through company-wide shout outs, 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

Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
Benefits: comprehensive benefits with coverage on Day 1, medical, dental, vision, 401k, stock options
Flexible location: our HQ is in Philadelphia. We offer both hybrid roles and those with quarterly travel.
Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
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 careers@healthverity.com

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.

Manager, Data Engineering

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