Principal Data Engineer

Trella Health; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

A leading healthcare technology company is seeking a Principal Data Engineer to develop a high-performance data infrastructure. This remote role involves designing and optimizing data pipelines, ensuring compliance with industry standards, and leading a team with cutting-edge technologies. Ideal candidates will have extensive experience in healthcare data engineering and cloud environments.

Qualifications

• Minimum of 8 years of data engineering experience.
• Strong background in healthcare data engineering.
• Hands-on experience with Databricks, Snowflake, AWS.

Responsibilities

• Drive best practices in data engineering and governance.
• Optimize data processing workflows for performance.
• Design, build, and maintain scalable data pipelines.

Skills

Python

SQL

ETL frameworks

Data governance

Problem-solving

Communication

Education

Bachelor’s degree in a related field

Tools

Databricks

Snowflake

AWS

Job description

Join to apply for the Principal Data Engineer role at Trella Health

Position Overview:

We are seeking an experienced and strategic Principal Data Engineer to drive the development of a scalable, high-performance healthcare data infrastructure. This role will be responsible for designing, building, and optimizing data pipelines that support analytics, insights, and business intelligence across a variety of healthcare datasets. The Principal Data Engineer will oversee the implementation of best-in-class data architecture and governance practices while ensuring compliance with industry standards such as HIPAA and SOC2.

This is an exciting opportunity to lead a team working with cutting-edge technologies like Databricks, Snowflake, and cloud-based platforms to solve complex healthcare data challenges.

Location:

Remote - US (Preference to applicants located in GA, TN, SC, NC, FL, TX & PA)

Responsibilities include:

1. Drive best practices in data engineering, infrastructure, and governance to improve efficiency and reliability.
2. Optimize data processing workflows for performance and cost efficiency within cloud environments.
3. Deploy automated monitoring systems to assess data pipelines, proactively identifying and resolving issues.
4. Collaborate with data science and product teams to define strategy, architecture, and technology choices.
5. Define and execute a technical roadmap for data engineering, focusing on impactful projects.
6. Provide technical guidance and mentorship to team members.
7. Design, build, and maintain scalable data pipelines for healthcare data such as claims, EHR, and other datasets.
8. Implement ETL/ELT workflows using Snowflake, Databricks, and modern frameworks.
9. Ensure data pipelines meet performance, reliability, and scalability standards.
10. Partner with data science teams to support modeling, reporting, and AI insights.

Qualifications:

• Minimum of 8 years of data engineering experience, with proven leadership.
• Strong background in healthcare data engineering, working with claims, EHR, or population health datasets.
• Experience in building scalable data architectures in cloud environments.
• Expertise in Python, SQL, ETL frameworks.
• Hands-on experience with Databricks, Snowflake, AWS.
• Knowledge of DevOps, CI/CD, automation.
• Excellent problem-solving and communication skills.
• Bachelor’s degree in a related field or equivalent experience.
• Preferred: familiarity with healthcare interoperability standards (FHIR, HL7, ICD-10).

Additional information about the company's culture, benefits, and employment policies is included in the original description.