Senior Data Engineer, Flatiron Health

• Are you ready to be the next changemaker in cancer care?
• You're a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. You're excited by the prospect of working on difficult and meaningful problems each day. You seek and give candid feedback, and value the chance to make an important impact on cancer patients and society
• You’re a data engineer with 4-8 years of relevant professional experience
• You are excited about working in a passionate, fast-paced, technology-driven culture
• You have a nose for value and empathy for your customers
• You have experience with agile development environments using object-oriented programming and database languages (e.g. Python, C#, SQL), but are also language agnostic and willing to pick up new programming languages as needed
• You have experience working with cloud platforms like AWS and data warehouse solutions like Snowflake
• You act as an expert in your domain area, and as a partner with product teams
• You understand the purpose of “boring” technology (as described in this blog post) and are willing to use the right tools to get the job done
• You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience; you have superior communication skills
• You are comfortable with ambiguity and always willing to teach and learn

Desirable

• We’re looking for a Senior Data Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer
• This role will design and develop data pipeline frameworks and technology in partnership with software engineering teams in New York. Additionally, this role will collaborate with other Flatiron employees across our UK, Germany, and Japan offices, and will work day-to-day with oncologists, clinicians, product leaders, quantitative scientists, and customers to understand their challenges and how technology can help solve them
• Create new or enhance existing business critical, complex data pipelines using a variety of data processing tools and automation
• Implement ETL frameworks that ensure our delivered data products meet high standards for quality, reliability, and depth
• Innovate new ways of integrating emerging AI technologies with existing systems
• Devise creative solutions for technical and business challenges to help the team scale
• Contribute to shaping the direction of team roadmaps and technology development
• Rapidly iterate on products while maintaining engineering practices that ensure stability, extensibility, and security
• Bring or develop a deep knowledge of healthcare in the US, including data sources, security, privacy, information governance requirements, and emerging trends