CA and US onlyAt BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us!
We're hiring a Data Engineer (Senior / Staff) to build the foundation of BioRender’s data infrastructure and systems by architecting our data flows, warehouse, processes, and schemas. Ultimately, creating a world-class data platform that scales with our company, accelerates data accessibility for our internal teams and can be used to drive business growth.
Our ideal fit
- Detail-oriented, process-oriented, data-focused, and good at picking up on data inconsistencies.
- Growth mindset, excited to learn new libraries / technologies but extremely practical and deliberate about adopting them for production. Extremely thoughtful about tradeoffs between different tools and whether they are solving the right problems for the team and for our users.
- Strong work ethic with a focus on delivering results.
- Inquisitive, thorough, and pragmatic
- Excellent communication skills with the ability to explain complex solutions/problems clearly and succinctly to the team and internal stakeholders
- Enjoys working cross-functionally and helping teammates work more effectively
In your first 3 months:
- Identify key areas of improvement in our data infrastructure and work cross-functionally to develop a plan to execute on the highest impact improvements that will drive most value for the business
- Meeting with internal teams to understand their biggest challenges and pain points with our current data infrastructure and tools
In your first 6 months:
- Help define and implement reliable and extendable standards for moving data between our production environment and data warehouse
- Ensure that we have alerting and monitoring at all potential points of failure in our data infrastructure
- Create efficient data pipelines to ingest and move data across different environments and services
In your first year:
- Help define scalable workflows and setup data infrastructure, processes and documentation that will enable data scientists, and analysts to develop deep analyses
- Create data products and processes to enable self-service analytics, predictive analytics, content recommendation and personalization in our core product
What you bring to the table
- 5+ years of data engineering experience of relevant industry experience
- Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred) and data lake / lakehouse architectures
- Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
- Demonstrated ability to (creatively) solve complex architectural problems, think about tradeoffs and systems design
- Effective communication skills and ability to translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
- Expertise with SQL and programming languages commonly used in data platforms (Python, Spark, etc)
- Experience with data pipeline orchestration (e.g., Airflow) and data pipeline integrations (e.g. Airbyte, Stitch)
Why join us?
- We are mission-driven, and work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery: BioRender figures have appeared in more than 16,000 publications!
- It’s a product that users love! We have a world-class NPS and a community of loyal fans. Check out our Testimonials page to see what our customers are saying about us: https://biorender.com/testimonials/
- We are in the top quartile for profitability and year-over-year revenue growth, with users in 200+ countries.
- BioRender is an equal opportunity employer, and an inclusive hiring process and work environment is a part of our DNA.
- We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere.
- We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator, Malala Fund founders, and Fifty Years VC.
- We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first.
Check out our candidate resource - Engineering, Product Design at BioRender!
You can also read more about the BioRender interview process and FAQs here!
Please note that in Canada, only those companies licensed by a provincial or territorial engineering regulator may refer to themselves as an “engineer” and therefore, this role will be titled "developer" internally at BioRender.
United States
