Moffitt Cancer Center
At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America's Best Large Employers and America's Best Employers for Women, Computerworld magazine's list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time's Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence.
Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.
Summary
As a Senior Data Engineer on the Data Engineering team, you will provide expert leadership in Snowflake cloud data warehouse modeling, design, deployment, and maintenance of the data engineering framework that supports the enterprise's data needs both internally and externally. You will play a key role in advancing data analytics initiatives by designing, building, and managing data ingestion, transformation, and maintenance processes to ensure the delivery of accurate and reliable data across Snowflake and on-premises environments. Additionally, you will drive continuous improvement of data engineering operations by innovating and developing self-service automation tools that enhance efficiency and simplify the overall customer experience. This role uniquely blends technical expertise in data engineering with a deep understanding of the business systems and processes involved, ensuring data solutions align with organizational goals.
Responsibilities:
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, with a focus 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 Identifying, designing, and implementing 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 Sets design, test, documentation, and implementation standards in accordance with HIPPA and other patient data management policies and ensures that data management systems adhere to them
Credentials and Experience:
Bachelor's degree: Information Systems, Computer Science, Business Administration, or related field Minimum 8 years of experience in implementation of data engineering initiatives Minimum of 3 years of cloud experience (AWS preferred) Minimum of 3 years of experience working and communicating with cross-functional teams, deriving requirements, architecting data models and shared datasets 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, with a focus 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, NoSQL, other platform APIs, and load into a centralized data warehouse/data lake to facilitate unified reporting Extensive experience working in Snowflake's data cloud environment Working knowledge and understanding Snowflake's features for data engineering, analytics, AI, and applications Experience with master data management, data modeling, and data governance best practices Experience with one or more AWS and/or cloud services such as EC2, S3, RDS, Lambda, etc. Experience with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and Dev Ops Experience working with ETL tools like Informatica, SSIS, Matillion, or Snowflake's native ingestion features Experience working with tools like Spark, Kafka, Airflow Experience working with Unix platforms and scripting Advanced knowledge of T-SQL, SQL, and ideally other programming languages like Python is preferred Apply and mentor junior engineers on advanced data engineering theories, principles, and concepts Continuously seek out industry best practices and develop skills to create new capabilities for Data Engineering team Ability to understand and work with complex, large enterprise business environments
Equal Employment Opportunity
Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.
Reasonable Accommodation
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Moffitt endeavors to make moffitt.org/careers accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact one of the Human Resources receptionists by phone at 813-745-7899 or by email at [email protected]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. If you'd like more information on your EEO rights under the law, please click here.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.
Summary
As a Senior Data Engineer on the Data Engineering team, you will provide expert leadership in Snowflake cloud data warehouse modeling, design, deployment, and maintenance of the data engineering framework that supports the enterprise's data needs both internally and externally. You will play a key role in advancing data analytics initiatives by designing, building, and managing data ingestion, transformation, and maintenance processes to ensure the delivery of accurate and reliable data across Snowflake and on-premises environments. Additionally, you will drive continuous improvement of data engineering operations by innovating and developing self-service automation tools that enhance efficiency and simplify the overall customer experience. This role uniquely blends technical expertise in data engineering with a deep understanding of the business systems and processes involved, ensuring data solutions align with organizational goals.
Responsibilities:
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, with a focus 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 Identifying, designing, and implementing 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 Sets design, test, documentation, and implementation standards in accordance with HIPPA and other patient data management policies and ensures that data management systems adhere to them
Credentials and Experience:
Bachelor's degree: Information Systems, Computer Science, Business Administration, or related field Minimum 8 years of experience in implementation of data engineering initiatives Minimum of 3 years of cloud experience (AWS preferred) Minimum of 3 years of experience working and communicating with cross-functional teams, deriving requirements, architecting data models and shared datasets 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, with a focus 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, NoSQL, other platform APIs, and load into a centralized data warehouse/data lake to facilitate unified reporting Extensive experience working in Snowflake's data cloud environment Working knowledge and understanding Snowflake's features for data engineering, analytics, AI, and applications Experience with master data management, data modeling, and data governance best practices Experience with one or more AWS and/or cloud services such as EC2, S3, RDS, Lambda, etc. Experience with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and Dev Ops Experience working with ETL tools like Informatica, SSIS, Matillion, or Snowflake's native ingestion features Experience working with tools like Spark, Kafka, Airflow Experience working with Unix platforms and scripting Advanced knowledge of T-SQL, SQL, and ideally other programming languages like Python is preferred Apply and mentor junior engineers on advanced data engineering theories, principles, and concepts Continuously seek out industry best practices and develop skills to create new capabilities for Data Engineering team Ability to understand and work with complex, large enterprise business environments
Equal Employment Opportunity
Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.
Reasonable Accommodation
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Moffitt endeavors to make moffitt.org/careers accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact one of the Human Resources receptionists by phone at 813-745-7899 or by email at [email protected]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. If you'd like more information on your EEO rights under the law, please click here.