Senior Data Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not provided

BioRender is accelerating the world’s ability to discover, learn, and communicate science faster through visuals. We empower millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research. Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains. The Data Platform team is at the heart of collecting and unlocking data at BioRender. We seek to build and maintain the right architecture and tooling to support our data science, analytics, product, and machine learning initiatives.

Requirements

• Experience: 7+ years of data engineering experience (relevant industry experience required).
• Data Warehousing Platforms: Expertise with Data Warehousing platforms (AWS RedShift or Snowflake preferred).
• Data Lake/Lakehouse Architectures: Experience with data lake / lakehouse architectures.
• Data Streaming Platforms: Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred).
• SQL: Proficiency in SQL.
• Programming Languages: Experience with Python, Spark, and other languages commonly used in data platforms.
• Data Pipeline Orchestration: Experience with tools like Airflow.
• Data Pipeline Integrations: Experience with tools like Airbyte, Stitch.
• Communication Skills: Effective communication skills and the ability to translate deeply technical designs into business-appropriate representations.
• Problem-Solving: Demonstrated ability to creatively solve complex architectural problems, think about tradeoffs, and systems design.

Responsibilities

• Build and maintain data platforms to support data science, analytics, product, and machine learning initiatives.
• Design and implement data solutions that align with the business strategy and growth of BioRender.
• Translate business needs and requirements into data service implementations.
• Analyze business needs and requirements to ensure data services directly correlate to the strategy and growth of the business.
• Work cross-functionally and help teammates work more effectively.
• Identify and resolve data inconsistencies.
• Stay up-to-date with new libraries and technologies, and deliberately adopt them for production.

Company Information

BioRender is accelerating the world’s ability to discover, learn, and communicate science faster through visuals. We empower millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research. Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.