HealthVerity

Senior Data Engineer

HealthVerity$120K — $200K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of industry experience in data engineering or related field
  • Proficient in at least one primary programming language (Java, Scala, Python) and Advanced SQL
  • Experience with AWS technologies such as EMR, S3, and Databricks
  • Strong knowledge of data pipeline automation and distributed systems like Spark
  • Familiarity with CI/CD practices and DataOps methodologies
  • Excellent communicator capable of collaborating across teams and specialties
  • Experience with Infrastructure as Code tools such as Terraform

Responsibilities

  • Engineer scalable data pipelines for structured and unstructured data
  • Maintain and optimize data pipelines for real-time and batch processing
  • Collaborate on standardized data infrastructure with data engineering teams
  • Integrate data pipelines into platform architecture with software engineering
  • Identify opportunities to improve data efficiency and processing
  • Enhance data security and compliance with regulations
  • Stay updated with emerging data engineering technologies

Benefits

  • Competitive base salary with an annual bonus opportunity
  • 401(k) plan and stock options available
  • Health, dental, and vision coverage starting on day one
  • Flexible work model with 3 in-office days per week
  • Generous PTO policy targeting 4 weeks annually plus parental leave
  • Comprehensive onboarding and mentorship programs
  • Professional development support including budget for growth opportunities
Full Job Description
Please note: This is a hybrid role requiring 3 days in office at our Philadelphia HQ - 1818 Market Street.

How you will helpAs a senior data engineer on the data platform team, you will be supporting and enhancing the platform that supports HealthVerity's Petabyte-scale core data asset. You will work closely with other engineers, data scientists, and business leaders to ensure that our data platform is available, secure, and reliable. You will use your strong engineering and product mindset to understand business needs and develop scalable engineering solutions that support HealthVerity's product roadmap and vision while continuously looking for opportunities to simplify, automate tasks, and build reusable components.

What you will do
  • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
  • Develop and maintain data pipelines to efficiently process and analyze large amounts of streaming data
  • Collaborate with other data engineers to maintain a cohesive and standardized data infrastructure
  • Work closely with the software engineering team to integrate data pipelines into the overall platform architecture
  • Collaborate with cross-functional teams including software engineers, data scientists, product managers, and analysts to understand data needs and deliver valuable platform enhancements that support the overall HealthVerity vision and roadmap.
  • Identify and implement solutions to optimize data storage, retrieval, and processing
  • Continuously evaluate and improve data engineering processes and systems to increase efficiency and scalability
  • Stay up-to-date with emerging technologies and industry trends in data engineering
  • Ensure data security and compliance with privacy regulations
  • Troubleshoot and resolve data-related issues in a timely manner
  • Leverage large-scale distributed computing and serverless architecture including Spark, AWS Lambda, etc. to develop pipelines for transforming data
  • Partner with the product teams to understand product goals and provide data that enables us to respond to customer and regulatory data requests
  • Monitor data quality and proactively identify and resolve data issues


Our tech stack:

Our team leverages the following technologies in our day-to-day development process: Github (includes CI/CD Flow-GHA), Python, Postgres, AWS Cloud-native technologies (CDK, Lambda, S3, EMR, ECS, SQS, Eventbridge, AuroraDB, cloudwatch and more), Spark, Databricks (SQL, Delta Live Tables, Unity Catalog, Audit Logs, Workflow), Docker/Kubernetes, Airflow, Hive SQL, Infrastructure as Code (IaC) tools, such as Terraform, YAML, and Helm Charts

How Success is defined
  • Lead the design and implementation of scalable data solutions
  • Proactively identify and address data quality and compliance issues
  • Share knowledge across teams
  • Contribute to strategic decisions regarding data architecture and tooling


Required skills and experience
  • You are proficient in at least one primary language (e.g., Java, Scala, Python) and Advanced SQL (any variant)
  • You have experience with Databricks pipeline automation, AWS EMR, AWS S3 service, Snowflake, Spark, Docker
  • You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required)
  • You have a product mindset to understand business needs and develop scalable engineering solutions
  • You are always looking for opportunities to simplify, automate tasks, and build reusable components across multiple use cases and teams
  • You have strong communication skills to collaborate with cross-functional partners and drive projects. You are curious and eager to work across a variety of engineering specialties (i.e., Data Science, Data Engineering, and Machine Learning to name a few)
  • You have a strong knowledge of Databricks features and functionalities, such as Unity Catalog, Audit Logs, Databricks SQL and Delta Live Tables
  • Experience with CI/CD pipelines and DataOps
  • You have an eye for detail and like to spark joy amongst your partners with well-documented high-quality data products that are modeled and easy to understand
  • You are able to successfully lead large, complex systems design and implementation challenges independently
  • Experience using Infrastructure as Code (IaC) tools, such as Terraform, YAML, and Helm Charts


Base salary for the role is commensurate with experience and can range between $120,000 - 200,000 + annual bonus opportunity.

Hiring Locations

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 is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate healthcare and consumer data. We continue to innovate HealthVerity Marketplace, the nation's first and largest real-world data ecosystem comprising more than 75 leading data providers and over 340 million US patients. Combined with Identity Manager, the industry's most accurate and efficient solution for patient identity, privacy and governance, we support critical applications in clinical development, commercial strategy, regulatory decision-making, population health, underwriting and more. HealthVerity has raised more than $140 million to date and works closely with its data providers, partners and clients to Synchronize 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.

About HealthVerity

HealthVerity is a healthcare technology company that provides a platform for data management and analytics. The company was founded in 2014 by a group of healthcare and technology professionals who saw an opportunity to improve the way healthcare data is collected, managed, and analyzed. HealthVerity's platform allows users to access and analyze healthcare data from a variety of sources, including electronic health records, claims data, and social determinants of health. The company has partnerships with major healthcare organizations and has raised over $25 million in funding. HealthVerity is based in Philadelphia and has a team of 200 employees.
Learn more about HealthVerity
Size
200 employees
Industry
Founded
2014

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