Data Engineering Manager

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 OCDO Data Engineering Manager will manage a team of data and technology focused engineering staff supporting the development of new translational data infrastructure and user-facing applications. This role will oversee the implementation of scalable, stable, and secure solutions in our centrally managed, cloud-based translational data infrastructure. The team will be responsible for managing data ingestion pipelines from internal and external sources, quality control, and processing, as well as overall technology governance and system administration. With support from the Data Product Management team, will interface with various IT teams and business stakeholders to support the delivery and evolution of data intensive applications and tooling. The Data Engineering Manager will direct the technical team responsible for implementing and supporting ongoing application development and integrations to support data science, precision oncology and AI use cases. This role collaborates closely with other teams in the OCDO, specifically the Data Science & Software team as well as the Data Governance team to prioritize new capabilities and ensure governance grows along with those needs.

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.

This role will have the opportunity to work partially at our campus and remotely.

Provide subject matter expertise and oversight to ensure Fred Hutch's translational data infrastructure is secure, compliant, and aligns with Fred Hutch's functional and technical requirements for data science, precision oncology and AI.
• Mentor and guide the forming engineering team, fostering professional development and promoting a collaborative work environment, with a culture of innovation, continuous improvement, and engineering excellence within the team.
• Collaborate with cross-functional teams and stakeholders to gather input and prioritize development efforts for data infrastructure enhancements and new applications.
• Collaborate with product management and leadership to define and manage the engineering roadmap, ensuring alignment with the Fred Hutch's data strategy.
• Ensure robust and scalable architecture and design of the data infrastructure, adhering to best practices in software engineering.
• Proactively identify and resolve technical issues that may impede Fred Hutch's ability to achieve its goals
• Address, communicate and resolve complex technical and/or process issues and communicate escalations with efficiency and professionalism.

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.
• 7+ years of experience supporting or developing data infrastructure and technology systems with increasing technical and leadership responsibilities.

PREFERRED QUALIFICATIONS:

• Significant experience with modern software development practices, including CI/CD, automated testing, and cloud-native architectures.
• Experience developing infrastructure as code and implementing version control patterns including supporting code standards and code review across members of a team.
• Experience with working with modern data architectures as well as data management tooling, Databricks is preferred.
• Experience with Agile software development methodologies.
• Significant expertise with common programming/code languages and data transformation tooling, such as Python, SQL, Apache Spark, dbt, etc.
• 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).
• Strong analytical, organizational, and time management skills.
• Interest and desire to innovate and learn in the healthcare and research data science and AI space and be part of a rapidly growing team.
• Prior experience in managing engineering staff and building a team.

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 $137,260 to $216,923, 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).