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Data Engineer - Remote Eligible
Build and maintain the data architecture to support BioRender's analytics and machine learning initiatives.
Remote
Senior
2 months ago
✨ About The Role
- The Data Engineer will be responsible for building and maintaining the architecture and tooling that supports data science, analytics, product, and machine learning initiatives.
- They will work closely with the Data Platform team to collect and unlock data at BioRender.
- The role involves solving complex architectural problems and making trade-offs in systems design.
- The candidate will be expected to implement data services that align with the company's strategy and growth.
- Experience with data pipeline orchestration and integrations is required, particularly with tools like Airflow and Airbyte.
- The position is remote-first, allowing flexibility in work location.
- The company values collaboration and is mission-driven, focusing on improving scientific communication and accelerating discovery.
⚡ Requirements
- The ideal candidate will have over 5 years of data engineering experience in a relevant industry.
- They should possess expertise in data warehousing platforms, particularly AWS RedShift or Snowflake.
- A strong understanding of data streaming platforms like AWS Kinesis or Firehose is essential.
- The candidate must demonstrate the ability to creatively solve complex architectural problems and think critically about systems design.
- Effective communication skills are crucial for translating technical designs into business-friendly representations.
- A detail-oriented and process-focused mindset is necessary, with a keen eye for data inconsistencies.
- The candidate should have a growth mindset, eager to learn new technologies while being practical about their application in production.
- A strong work ethic and a focus on delivering results are important traits for success in this role.
About BioRender
'Figma/Canva for scientists’