Senior Data Engineer

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have over 7 years of data engineering experience in the relevant industry. Expertise in Data Warehousing platforms such as AWS RedShift or Snowflake and data lake/lakehouse architectures is required. Experience with Data Streaming platforms like AWS Kinesis or Firehose is essential. Candidates must demonstrate the ability to solve complex architectural problems and possess effective communication skills to translate technical designs into business representations. Proficiency in SQL and programming languages like Python and Spark is necessary, along with experience in data pipeline orchestration using tools like Airflow and data pipeline integrations such as Airbyte or Stitch.

Responsibilities

The Senior Data Engineer will build and maintain the architecture and tooling necessary to support data science, analytics, product, and machine learning initiatives at BioRender. They will be responsible for creatively solving complex architectural problems and ensuring that data services align with the company's strategy and growth. The role involves working cross-functionally to help teammates work more effectively and delivering results while maintaining a detail-oriented and process-focused approach.

Skills

Data Warehousing

AWS Redshift

Snowflake

Data Lake

Data Lakehouse

AWS Kinesis

AWS Firehose

SQL

Python

Spark

Airflow

Airbyte

Stitch

Biorender

Online platform for creating scientific illustrations

About Biorender

BioRender provides an online platform for creating scientific illustrations tailored for the life sciences field. Users can access thousands of pre-drawn icons and templates covering over 30 life sciences disciplines, allowing scientists, researchers, and educators to produce professional and visually appealing figures efficiently. The platform's user-friendly interface enables clients, including academic researchers, pharmaceutical companies, and educational institutions, to create figures for research papers, presentations, and educational materials with minimal effort. BioRender operates on a subscription model, offering various plans to suit different user needs, including enterprise solutions for larger organizations. The company's goal is to simplify the process of creating high-quality scientific illustrations, making it an essential resource for effective scientific communication.

Toronto, CanadaHeadquarters

2017Year Founded

$16.7MTotal Funding

SERIES_ACompany Stage

Biotechnology, Education, HealthcareIndustries

201-500Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

AI-driven design tools may reduce demand for BioRender's platform.

Increased competition from cheaper visualization platforms could erode market share.

Potential IP disputes over pre-drawn icons could lead to legal challenges.

Differentiation

BioRender offers a vast library of customizable icons and templates for scientists.

The platform provides a user-friendly interface for creating professional scientific figures.

BioRender serves diverse clients, including academia, biotech, and pharmaceutical companies.

Upsides

Increased demand for digital communication boosts need for scientific visualization tools.

Growing interest in graphical abstracts enhances research visibility and accessibility.

Open-access publishing trend increases demand for high-quality, appealing figures.

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