Data Engineer III

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

The Chief Data Officer of the Fred Hutchinson Cancer Center, Jeff Leek, established the Fred Hutch Data Science Lab (DaSL), which aims to develop and support the overall data strategy for the organization. The mission of the DaSL to ensure an effective data ecosystem at Fred Hutch by developing a modern, well documented, well implemented, overall data strategy. This should serve the needs and capabilities of those leveraging data at Fred Hutch regardless of "where they live" from the clinic to the research groups. We believe focusing on people is critical in building a strong, dynamic community united around using data to improve human health and cancer care. To do this, we aim to build a diverse, hybrid team that is inclusive, open, collaborative, and supportive both within our team and with our collaborators (find more about our values and culture). We are strong advocates for open science and reproducible research, thus develop our work in the open as much as possible. We rely heavily on written communication and continuous collaboration in order to support our hybrid team, as well as make our work as accessible as scalably and sustainably as possible by Fred Hutch staff.

The Data Engineer III is part of a team of data and technology focused engineering staff supporting the development of new translational data infrastructure, integrations, and user-facing applications. This team is responsible for the implementation of scalable, stable, and secure solutions in our centrally managed, cloud-based translational data infrastructure. This role is responsible for managing data ingestion pipelines from internal and external sources, quality control, and processing in our data Lakehouse environment using Databricks in AWS. Works closely other members of the Engineering team to develop and implement new functionalities in our translational data infrastructure to support data science, precision oncology and AI use cases.

At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.

Most Fred Hutch jobs require some on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area.

Responsible for designing, implementing, and optimizing data pipelines and workflows using AWS, Databricks and other cloud-based tools.
• Collaborate with data scientists, analytic engineers, and software developers to understand data requirements, integrations, and optimize workflows for performance, scalability, and reliability.
• Develop and maintain documentation for data engineering processes and code bases used for data pipelines, validation, testing and CI/CD processes.
• Implement data security and governance best practices to ensure compliance with regulatory requirements and Fred Hutch policies.
• Develop and implement data engineering techniques to automate manual processes, maintain data quality and validation checks as well as integrate data from various sources, ensuring data quality and consistency, and implement data cleansing routines where necessary.
• Lead design and implementation strategies for new data acquisition, data distribution, and workflow orchestration.
• Collaborate with team members, end users, and other stakeholders to provide solutions with minimal operational disruption and high data integrity

MINIMUM QUALIFICATIONS:

• BA/BS in Computer Science, Computer Engineering, Information Technology, Management Information Systems, Software Engineering, Software Development, Data Engineering or related field, or equivalent combination of education and experience.
• Minimum 7 years of demonstrated experience in data engineering and/or data science.

PREFERRED QUALIFICATIONS:

• Strong understanding of modern, cloud-based data architecture concepts and best practices, including Lakehouse architectures.
• Experience with ETL/ELT pipelines.
• Experienced in Python and SQL.
• Experience using version control processes using git.
• Experience working with Databricks for data processing, data management and/or data governance.
• Experience working with and transforming both structured (e.g. relational databases) and unstructured data.
• Experience using cloud-based services, ideally AWS particularly, Lambda, S3, IAM, and simple networking concepts.
• Experience working in highly regulated data environments, ideally with prior healthcare or research experience, including familiarity with HIPAA regulations.
• Experience with collaboration tools (Teams, Slack, Jira, Confluence).
• Experience with Databricks to ensure efficient and reliable data processing workflows.
• Strong analytical and organizational skills and an ability to multi-task.
• A good understanding of distributed computing, containerization, and automation approaches.
• Ability to work independently and to adapt to new and changing technologies.

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

The annual base salary range for this position is from $124,488 to $196,747, and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.

This position may be eligible for a sign-on bonus.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).