Senior Data Engineer - AI-Ready Data & Cloud

Moffitt Cancer Center; Tampa (FL); On-site; USD 108,000 - 165,000; Full time

Job summary

Moffitt Cancer Center in Tampa, FL, is seeking a Senior Data Engineer to design, deploy, and optimize data pipelines for analytics, AI, and data-driven initiatives. You will build lakehouse architectures across cloud and on‑prem environments, model data for trusted insights, and mentor junior engineers.

Responsibilities include data modeling, performance tuning, and ensuring data quality and security while collaborating with cross‑functional teams to enable AI-ready data solutions at scale.

Qualifications

• Bachelor’s degree in information systems, Computer Science, or a related field.

Responsibilities

• Design, develop, and deploy data pipelines for data warehouses, marts, and lakehouse environments.
• Build and maintain infrastructure for efficient ETL from various sources using AWS, Azure, Snowflake, SQL, and lakehouse architectures.
• Document data models, process flows, standards, and procedures for data engineering practices.
• Define and implement data engineering strategies to optimize performance, scalability, reliability, data quality, security, cost, and automation.
• Guide and mentor data engineers on advanced concepts and best practices; provide on-call production support.
• Ensure HIPAA compliance and other patient data management policies in design and deployment.

Skills

dbt

Snowflake

Python

SQL

Spark

Airflow

Git

AWS

Azure

Education

Bachelor's degree in information systems/Computer Science or related field

Tools

AWS

Azure Data Factory

Git

CI/CD

Job description

Moffitt Cancer Center in Tampa, FL, is seeking a Senior Data Engineer to design, deploy, and optimize data pipelines for analytics, AI, and data-driven initiatives. You will build lakehouse architectures across cloud and on‑prem environments, model data for trusted insights, and mentor junior engineers.

Responsibilities include data modeling, performance tuning, and ensuring data quality and security while collaborating with cross‑functional teams to enable AI-ready data solutions at scale.