Senior Data Engineer: AI-Ready Data & Cloud Lakehouse

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.

United States

On-site

USD 108,000 - 165,000

Full time

5 days ago
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Job summary

Moffitt Cancer Center in Florida is seeking a Senior Data Engineer to design, deploy, and maintain data pipelines and lakehouse architectures. You will enable analytics, AI-ready data, and scalable data delivery across cloud and on‑prem environments.

The role requires strong data engineering expertise, collaboration with cross‑functional teams, and mentoring of junior engineers. A commitment to data quality and security is essential to support patient data management policies.

Qualifications

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

Responsibilities

  • Design, develop, and deploy data pipelines and solutions supporting data warehouses, marts, and lakehouse environments
  • Build and maintain infrastructure for efficient extraction, transformation, and loading of data from various sources using AWS, Azure, Snowflake, SQL, and modern lakehouse architectures
  • Define and implement data engineering strategies to optimize performance, scalability, reliability, data quality, security, cost, data delivery, and automation
  • Guide and mentor data engineering team members on advanced data engineering concepts and best practices
  • Provide rotational on-call production support, monitoring and resolving data engineering service issues
  • Ensure design, testing, documentation, and implementation align with HIPAA and patient data policies

Skills

Cross-functional collaboration
Agile/SCRUM
Mentoring
Data modeling
Data analysis

Education

Bachelor’s degree in information systems
Bachelor’s degree in Computer Science
Bachelor’s degree in Business Administration

Tools

AWS
Azure
Snowflake
dbt
Azure Data Factory
Git
CI/CD
DevOps
Snowpipe
Snowpark
Python
Unix scripting
SQL
Spark
Kafka
Airflow

Job description

Moffitt Cancer Center in Florida is seeking a Senior Data Engineer to design, deploy, and maintain data pipelines and lakehouse architectures. You will enable analytics, AI-ready data, and scalable data delivery across cloud and on‑prem environments.

The role requires strong data engineering expertise, collaboration with cross‑functional teams, and mentoring of junior engineers. A commitment to data quality and security is essential to support patient data management policies.

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