Senior Software Engineer, Data Engineering

TL;DR

Senior Software Engineer, Data Engineering (SQL/Python): Designing and building data solutions that deliver oncology research insights for life science partners with an accent on ETL/ELT pipeline reliability, data quality, and production dataset modeling. Focus on translating ambiguous research needs into well-scoped work, mentoring junior engineers, and using AI-assisted coding tools while maintaining strong engineering judgment.

Company

hirify.global builds data products that help improve cancer care and accelerate cancer research.

What you will do

• Design, build, and maintain data solutions that answer oncology research questions and enable R&D across the drug discovery lifecycle.
• Collaborate with clinical data analysts to meet data quality standards and contractual requirements.
• Break down ambiguous requirements into actionable work, surfacing risks and clarifying questions early.
• Translate business and research needs into technical solutions while balancing customer needs, constraints, and delivery timelines.
• Mentor and develop junior data engineers; participate in design and code reviews.
• Monitor CI/CD and pipeline reliability, investigating issues by tracing to root causes; identify inefficiencies and propose improvements.

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 the systems orchestrating them.
• Experience with cloud platforms (AWS preferred) and containerized environments (Docker).
• Experience with data modeling and production datasets in Snowflake.
• Experience leading data engineering teams and managing engineers.

Culture & Benefits

• Hybrid work: work from home with 3 office days set by you and your team.
• Flexible work hours and flexible paid time off.
• 401(k) contribution and comprehensive compensation package.
• Mental well-being tools and services, plus parental benefits and policies.
• Continuous learning support and inclusion-focused workplace.

Hiring process

• Interviews and evaluation of technical and collaboration skills through discussions and reviews.

Location: NY office (hybrid: work from home + 3 office days)

Salary: $152,000 - $209,000 (annual)