Senior Data Engineer

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute‑designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.

Senior Data Engineer as a member of the Data Engineering team, will provide expertise in design, deployment, and maintenance of a data engineering framework essential to support the enterprise’s data needs both internally and externally. This position is responsible for supporting and advancing delivery of data analytics projects by designing, building, and managing data ingestion, transformation, and maintenance to deliver accurate and reliable data to stakeholders in cloud‑based and on‑premise environments.

The Senior Data Engineer continuously improves our data engineering operations capability through innovation and developing self‑service automations that simplify and improve the overall customer experience, while blending technical expertise with a deep understanding of the business systems and processes involved.

• Design and implement Snowflake‑based data solutions aligned with business requirements and industry best practices
• Engineering tasks including data analysis, data models, reverse engineering, and performance optimization
• Collaborate closely with other data engineers to design and optimize ELT/ETL pipelines using tools such as Matillion and Snowflake’s native features
• Design, develop, and deploy data pipelines to create or enhance data warehouses/marts
• Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and database technologies
• Stay current with emerging AI technologies and best practices, focusing on Snowflake’s AI capabilities and platform advancements, to continuously improve AI‑enabled data solutions
• Document technical specifications, data models, process flows, standards, processes, and procedures
• Identify, design, and implement internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Guide and mentor data engineering team members on advanced data engineering theories, principles, and concepts
• Define comprehensive data processing strategies to ensure the most optimal outcomes
• Provide on‑call production support on a rotational basis, including monitoring and facilitating resolution of support for all data engineering related services
• Set design, test, documentation, and implementation standards in accordance with HIPAA and other patient data management policies, ensuring that data management systems adhere to them

• Bachelor’s degree in Information Systems, Computer Science, Business Administration, or related field
• Minimum 8 years of experience in implementing data engineering initiatives
• Minimum 3 years of cloud experience (AWS preferred)
• Minimum 3 years of experience working and communicating with cross‑functional teams, deriving requirements, architecting data models and shared datasets
• Apache NiFi experience a plus
• A strong engineering background and expertise in working with data and databases
• Experience in software development environments using Agile/SCRUM, and code management/versioning
• Deep expertise in a Data Engineering role, focused on building complex data pipelines or conducting data‑intensive analysis on cloud platforms (AWS preferred) and on‑premises environments
• Build and maintain the infrastructure to support ELT/ETL processing; extract data from multiple data sources such as SQL, No
  
  SQL, other platform APIs, and load into a centralized data warehouse/data lake for unified reporting
• Extensive experience working in Snowflake’s data cloud environment
• Working knowledge and understanding of Snowflake’s features for data engineering, analytics, AI, and applications
• Experience with…