Principal Data Engineer

Summary

Join Covera Health as a Principal Data Engineer and play a key role in designing and maintaining the data infrastructure that powers their products and insights. You will shape the data architecture, ensuring data is clean, well-structured, reliable, and accessible to various stakeholders. This strategic role involves building robust data pipelines, enabling near real-time data processing, normalizing data, developing triggered pipelines, designing data models, and creating scalable data structures. You will ensure the delivery of clean, reliable, and well-documented datasets for analytics, dashboards, and reporting across the organization.

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
• Strong communication skills and ability to collaborate across engineering, analytics, and business teams
• Passionate about building high-quality systems that enable measurable business impact

Responsibilities

• 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

Preferred Qualifications

Experience with near real-time or streaming data pipelines is a plus

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