Senior Software Engineer, Data Engineering (Healthcare)

Location: Hybrid role based in the New York, NY or Durham office, with work from home and 3 office days set by the employee and team

Company

hirify.global develops data products and infrastructure that support cancer treatment research, drug discovery, FDA evidence submissions, and improved oncology outcomes.

What you will do

• Design, build, and maintain data solutions that answer targeted oncology research questions and support R&D across the drug discovery lifecycle.
• Build and manage reliable data pipelines while partnering with clinical data analysts to meet quality standards and contractual requirements.
• Translate business and research needs into scoped technical solutions, balancing customer needs, technical constraints, and delivery timelines.
• Collaborate with quantitative scientists, research oncologists, project managers, and other stakeholders across multiple pipelines.
• Mentor, educate, and develop junior data engineers; participate in design and code reviews and improve engineering practices.
• Monitor CI/CD processes, investigate pipeline issues to their root causes, and use AI-assisted coding tools with critical judgment.

Requirements

• 4+ years of professional experience in data engineering, software engineering, or data-intensive applications.
• Strong proficiency in SQL and Python.
• Experience building, maintaining, and debugging ETL/ELT pipelines and their orchestration systems.
• Experience with cloud platforms, preferably AWS, and containerized environments using Docker.
• Experience with data modeling and production datasets in Snowflake.
• Experience leading data engineering teams and managing engineers.
• Expertise in data engineering practices including debugging, testing, validation, orchestration, and observability.
• Effective collaboration through Git, code review, and documentation, with clear communication to non-technical stakeholders.
• Bachelor’s, Master’s, or Ph.D. degree in computer science, data science, or a related field.

Nice to have

• Experience in healthcare or with healthcare-related data standards.
• Experience working directly with customers as a solutions engineer or forward deployed engineer.
• Experience developing with AI-assisted tools such as Cursor or Claude Code.

Culture & Benefits

• Flexible work hours and flexible paid time off with work/life autonomy.
• Comprehensive compensation package and 401(k) contribution.
• Financial health resources, including one-to-one financial advice.
• Mental well-being tools and services, parental benefits, generous leave, and family-building support.
• Travel support for safe healthcare services and resources supporting continuous learning, inclusion, and belonging.