What are the responsibilities and job description for the Data Engineer position at BioRender?
At BioRender, we are accelerating the world's ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers 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.
Our 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. An ideal candidate will have plenty of experience building data products and helping shape data strategy in a fast-paced startup environment
What you'll bring :
- 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)
Our ideal fit brings :
Nice to haves :
Why join us?
BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
