About the role

As a Principal Data Engineer at Covera Health, you'll play a pivotal role in designing and maintaining the data infrastructure that powers our products and insights. You will shape the architecture for how data flows across systems, ensuring it's clean, well-structured, reliable, and accessible to a wide range of stakeholders. Your work will directly support key business initiatives and help us unlock new opportunities to drive impact for our partners and patients.

This is a strategic, high-impact role that sits at the intersection of engineering, data architecture, and analytics. You'll have the opportunity to scale foundational systems while influencing how we evolve our data platform to meet the growing demands of our products, customers, and internal teams.

In this role, you will be expected to:

• Build and maintain robust data pipelines that ingest, transform, and unify data from both internal and external sources
• Enable near real-time data processing to support operational decision-making and customer-facing features
• Normalize and shape auxiliary or third-party data into well-structured, canonical models aligned with internal standards
• Develop and manage triggered pipelines that run on specific schedules or business events
• Design and evolve data models and schemas to support new use cases and business domains
• Create performant, scalable data structures to support a growing volume and complexity of data
• Ensure delivery of clean, reliable, and well-documented datasets that power analytics, dashboards, and reporting across the organization

Special Considerations:

While we are a remote-first company with employees located across the U.S., we do have a NYC office located at Penn 1. Many of our local employees come into the office on Wednesdays for collaboration and connection (and lunch!). We have a preference for candidates located in the Eastern or Central Time Zones.

Requirements:

• 7+ years of hands-on data engineering experience
• Strong proficiency in Python, with experience applying it to data engineering workflows such as ETL, orchestration, and automation
• Proven expertise in building and optimizing large-scale data pipelines and architectures
• Deep familiarity with modern data stack tools and cloud technologies (e.g., Databricks, Spark, Postgres, Azure or equivalent)
• Strong experience with structured and unstructured data modeling, schema design, and performance tuning
• Experience with near real-time or streaming data pipelines is a plus
• Strong communication skills and ability to collaborate across engineering, analytics, and business teams
• Passionate about building high-quality systems that enable measurable business impact

Benefits

• Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
• Vision & Dental
• Flexible Time Off - take the time you need, when you need it
• Covera Fridays - once a month, Covera takes a fully paid day off to unplug and recharge
• 401(k) Retirement Plan
• Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity
• Annual Wellness stipend for fitness, mental health or other wellness expenses

The minimum and maximum salary for this position ranges from $190,000 to $200,000 in addition to a discretionary bonus and comprehensive benefits package. Final salary will be based on a number of factors including but not limited to, a candidate’s qualifications, skills, competencies, experience, expertise and location.

At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal-opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.