Senior Data Engineer

Next Ventures; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A Series A Business is looking for an experienced Data Engineer in Toronto. You will build and maintain data products, working extensively with data warehousing and streaming platforms. The ideal candidate has over 7 years of data engineering experience, expertise with tools like AWS RedShift, and strong problem-solving and communication skills. This role is critical for supporting data science and analytics initiatives.

Qualifications

• 7+ years of data engineering experience in a relevant industry.
• Expertise with data warehousing platforms like AWS RedShift or Snowflake.
• Experience in data streaming platforms such as AWS Kinesis.

Responsibilities

• Build and maintain data products and architecture.
• Solve complex architectural problems and design systems.
• Translate technical designs into business representations.

Skills

Data engineering

Data warehousing

Data lake architecture

Data streaming

SQL

Programming in Python

System design

Communication skills

Tools

AWS RedShift

Snowflake

AWS Kinesis

Airflow

Airbyte

Stitch

Job description

Overview

A Series A Business are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, they empower millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research. As AI automates large parts of research, they 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 the idea is that they will bridge the gap between specialized knowledge domains.

Our Data Platform team is at the heart of collecting and unlocking data. 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

• 7+ 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)