Lead Data Engineer: Cloud & BigQuery Architect

HCA Healthcare; Nashville (TN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Wellbeing support

PTO

401(k) match

Tuition assistance

Job summary

HCA Healthcare in Nashville, TN is hiring a Senior Data Engineer onsite to lead enterprise data platforms on Google Cloud Platform. This role combines technical ownership with people leadership, pairing scalable architecture and ETL/ELT development with mentorship and cross-functional partnership.

You’ll work with Terraform IaC, Cloud Composer, Pub/Sub, Python, BigQuery, and data warehouse design, building batch and streaming pipelines while ensuring data quality, lineage, and observability.

Qualifications

• 5+ years of Information Technology experience.
• Bachelor’s Degree or equivalent experience preferred.
• 3+ years in a technical lead role or mentoring engineering teams preferred.

Responsibilities

• Serve as the technical lead for enterprise data engineering and cloud platform initiatives.
• Lead the architecture and implementation of scalable ETL/ELT pipelines supporting analytics and operational systems.
• Design and optimize data models, BigQuery datasets, and enterprise data warehouse solutions.
• Mentor engineers through code and architecture reviews and collaborate with cross-functional teams.

Skills

Google Cloud Platform

Terraform

Infrastructure as Code

Airflow

Pub/Sub

Python

BigQuery

Data modeling

Data warehouse

CI/CD

Git

Kubernetes

REST APIs

Java

Spring Boot

Angular

SSRS

SSIS

Education

Bachelor’s Degree

Tools

Cloud Composer (Airflow)

Pub/Sub

GitHub

Azure DevOps

Docker

Kubernetes

Job description

HCA Healthcare in Nashville, TN is hiring a Senior Data Engineer onsite to lead enterprise data platforms on Google Cloud Platform. This role combines technical ownership with people leadership, pairing scalable architecture and ETL/ELT development with mentorship and cross-functional partnership.

You’ll work with Terraform IaC, Cloud Composer, Pub/Sub, Python, BigQuery, and data warehouse design, building batch and streaming pipelines while ensuring data quality, lineage, and observability.