Data Engineer at BioRender

BioRender logo
BioRender

Data Engineer

Remote

Full Time

#Engineering

#Data Infrastructure

#Data Platform

#Data Warehousing

#Data

#SQL

#Python

#Spark

#Airflow

#Data Pipeline

#AWS RedShift

#Snowflake

#AWS Kinesis

BioRender is looking for a Data Engineer

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At BioRender, our mission is to change how the world learns, discovers, and communicates science. We are dedicated to democratizing scientific communication to speed up global discovery. Our platform has become a vital resource for the scientific community, with our figures appearing in over 16,000 publications. We are a profitable, high-growth company backed by world-class investors, and we are looking for passionate individuals to help us build the future of science communication.

About the Role

We are looking for a Senior Data Engineer to join our team on a full-time basis. In this role, you will be the primary architect for our data infrastructure, including our data flows, warehouses, and schemas. You will be responsible for building a world-class platform that scales with our business, improves data accessibility for our internal teams, and drives our continued growth.

Key Responsibilities

  • Architect and maintain robust data pipelines to ensure efficient data movement across our various services and environments.
  • Collaborate with internal stakeholders to identify infrastructure pain points and implement high-impact solutions that improve data reliability and monitoring.
  • Develop scalable workflows and self-service data products that empower our analysts and data scientists to perform deep research and predictive modeling.

Requirements

We are looking for someone with a strong technical background and a pragmatic approach to problem-solving. Your qualifications should include:

  • At least 5 years of professional experience in data engineering.
  • Expertise in data warehousing platforms, specifically AWS RedShift or Snowflake, and familiarity with lakehouse architectures.
  • Proficiency in SQL and common programming languages such as Python or Spark.
  • Hands-on experience with data streaming technologies like AWS Kinesis or Firehose.
  • Strong knowledge of pipeline orchestration tools like Airflow and integration services.
  • Excellent communication skills with the ability to translate complex technical designs into clear business strategies.

Location

This position is remote and can be performed from anywhere.

Compensation and Benefits

We believe in supporting our team members through a flexible and inclusive work environment. Key benefits include:

  • The flexibility of a remote-first work culture.
  • The opportunity to work with a mission-driven team in a top-quartile, profitable company.
  • An inclusive and supportive work environment that prioritizes employee well-being.
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BioRender

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