Principal Data Engineer

Summary

Join Trella Health as a Principal Data Engineer and drive the development of a scalable, high-performance healthcare data infrastructure. Design, build, and optimize data pipelines supporting analytics and business intelligence across various healthcare datasets. Oversee the implementation of best-in-class data architecture and governance, ensuring HIPAA and SOC2 compliance. Lead a team utilizing cutting-edge technologies like Databricks and Snowflake. Collaborate with data science and product teams to define long-term strategies and execute a technical roadmap. Provide technical guidance and mentorship to team members.

Requirements

• Minimum of 8 years of data engineering experience with proven experience serving as a technical lead
• Strong background in healthcare data engineering, working with claims, EHR, or population health datasets
• Proven experience in building and maintaining scalable data architectures in cloud environments
• Expertise in Python, SQL, and ETL frameworks for data processing and transformation
• Hands-on experience with Databricks, Snowflake, and AWS cloud services
• Familiarity with DevOps, CI/CD pipelines, and infrastructure automation
• Excellent problem-solving and analytical skills
• Effective communication and stakeholder engagement
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities
• Bachelor’s degree in Computer Science, Data Engineering, related field, or equivalent years of experience

Responsibilities

• Drive best practices in data engineering, infrastructure, and governance to improve efficiency and reliability
• Optimize data processing workflows for performance and cost efficiency within cloud environments
• Deploy automated monitoring systems to continuously assess data pipelines, proactively identifying and resolving bottlenecks, errors, or failures to maintain optimal performance and reliability
• Collaborate with data science and product teams define long-term strategy, architecture, and technology choices
• Define and execute a technical roadmap for data engineering, prioritizing impact-driven projects
• Provide technical guidance and mentorship to cross-functional team members related to data engineering excellence
• Design, build, and maintain scalable, efficient, and reliable data pipelines for transforming healthcare data such as medical and Rx claims, ACO CCLF and BCDA, EHR, and other healthcare datasets
• Implement ETL/ELT workflows using Snowflake, Databricks and other modern frameworks
• Ensure that data pipelines meet performance, reliability, and scalability standards
• Implement and manage import and export processes
• Partner with data science to support advanced modeling, reporting, and AI-driven insights
• Partner with data scientists, analysts, and software engineers to ensure data solutions align with analytical and operational needs
• Actively participate in cross-functional discussions to drive data-driven decision-making
• Provide technical observations and recommendations to Data Science & Engineering leadership teams
• Work with IT, security, and compliance teams to implement best practices for data protection and privacy
• Develop and maintain clear documentation of data pipelines, workflows, and architecture
• Identify and implement automation opportunities to enhance data engineering processes
• Continuously evaluate and integrate emerging technologies to improve data infrastructure

Preferred Qualifications

Familiarity with healthcare interoperability standards (FHIR, HL7, ICD-10)

Benefits

• Health, Dental, Vision & Voluntary Benefits
• Competitive Salary & Bonus Plans
• 401k Retirement Savings
• Unlimited PTO & 10 Paid Holidays
• Flexible Work Hours
• Equity Shares
• Paid Leave Programs
• Marketplace for discounted retail and entertainment