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. Summary 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. 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, 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 Qualifications 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, NoSQL, 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 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 version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and DevOps 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 the Data Engineering team Ability to understand and work with complex, large enterprise business environments Salary Range Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job‑related factors, including experience, skills, education, and internal equity among Team Members in similar positions. We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce. 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 View phone number on click.appcast.io or by email at View email address on click.appcast.io. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. Read more information about your EEO rights under the law. Transparency in Coverage Rule #J-18808-Ljbffr Moffitt Cancer Center