Data Engineer

BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.
Data
Senior Software Engineer
Remote
5+ years of experience
Healthcare · Enterprise SaaS · AI

Description For Data Engineer

BioRender is revolutionizing scientific communication by enabling millions of scientists to create accurate biological figures. As a Data Engineer, you'll join our Data Platform team, playing a crucial role in collecting and unlocking data potential. We're seeking an experienced professional with 5+ years in data engineering to help build and maintain our data architecture and support various initiatives across data science, analytics, and machine learning.

The ideal candidate brings deep expertise in data warehousing platforms like AWS RedShift or Snowflake, experience with streaming platforms, and strong programming skills in SQL and Python. You'll be working in a remote-first environment, contributing to a mission-driven company that's backed by top investors including Y Combinator.

What makes this role exciting is the opportunity to shape the future of scientific communication. BioRender's figures have appeared in over 54,000 publications, and we're expanding our vision to become the primary platform where humans read biology. You'll be instrumental in translating complex data into clear, intuitive visuals that accelerate scientific breakthroughs.

The role offers the flexibility of remote work across the US and Canada, and you'll be joining a company with a world-class NPS and a community of loyal users in 200+ countries. If you're detail-oriented, have a growth mindset, and are passionate about using data to drive scientific discovery, this role offers an exceptional opportunity to make a significant impact in the scientific community.

Last updated 23 days ago

Responsibilities For Data Engineer

  • Build and maintain data architecture and tooling
  • Support data science, analytics, product, and machine learning initiatives
  • Help shape data strategy
  • Implement data services aligned with business strategy
  • Work cross-functionally with team members

Requirements For Data Engineer

Python
  • 5+ years of data engineering experience
  • Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred)
  • Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
  • Demonstrated ability to solve complex architectural problems
  • Effective communication skills
  • Expertise with SQL and Python
  • Experience with data pipeline orchestration and integrations

Benefits For Data Engineer

  • Remote-first work environment
  • Work from anywhere flexibility
  • Equal Opportunity Employer
  • Backed by top investors including Y Combinator

Interested in this job?

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