Principal Data Engineer: Enterprise Analytics Leader

Hartford HealthCare; Farmington (CT); On-site; USD 140,000 - 200,000; Full time

Job summary

Hartford HealthCare is seeking a Principal Data Engineer to lead the strategic design, development, and optimization of our advanced data infrastructure. You will architect data solutions to support analytics, AI initiatives, and digital health transformation, while ensuring governance, privacy, and security across systems.

You will mentor a team of engineers and collaborate with cross-functional partners to align data strategy with business priorities, enabling high-performance data integration

Qualifications

• Bachelor’s degree in computer science, engineering, mathematics, or related quantitative field required.
• 8+ years of hands-on data software development experience, including cloud-native architectures (GCP preferred).
• 8+ years with Python, SQL, and Java.
• 8+ years with ETL design, data modeling, and building robust data pipelines.
• Advanced experience with cloud-based data engineering (GCP, AWS, or Azure).

Responsibilities

• Design scalable, secure data pipelines across cloud and on-premise environments.
• Lead enterprise data architecture, including data models, ETL, and data warehouses.
• Collaborate with data scientists, governance teams, and IT leadership to align architecture with goals.
• Define and drive long-term data strategy; mentor data engineers and promote best practices.

Skills

Python

SQL

Java

Data pipelines

GCP

AWS

Azure

ETL design

Data modeling

Data lake/lakehouse

Leadership

Education

Bachelor’s degree (CS/Engineering)

Master’s degree preferred

Tools

FHIR/HL7

Job description

Hartford HealthCare is seeking a Principal Data Engineer to lead the strategic design, development, and optimization of our advanced data infrastructure. You will architect data solutions to support analytics, AI initiatives, and digital health transformation, while ensuring governance, privacy, and security across systems.

You will mentor a team of engineers and collaborate with cross-functional partners to align data strategy with business priorities, enabling high-performance data integration