Machine Learning jobs in United States
Funded PhD Position in Robotic Water-sampling
The University of British Columbia (UBC)
Funded PhD: Autonomous Drone Water-Quality Sampling
The University of British Columbia (UBC)
Discover more opportunities than anywhere else. Find more jobs nowDistinguished Engineer, Data, ML & AI, Office of the CTO
Equinix
Connect with headhunters to apply for similar jobsSenior Engineer - Rendering System (Android)
Huawei Technologies Canada Co., Ltd.
Senior Backend Engineer - Developer Productivity
Faire
Lloyds Register Canada Limited: Intermediate Engineer – Explosion & Fluid Dynamics
Atlantic Canada
ML Engineer — Real-Time Interior-Design AI (Remote)
Leap Tools Inc.
Do you dream big and want to make an impact- Work with us.
AbCellera
ML Platform Engineer – Production Pipelines & MLOps
Ubisoft
Staff Software Engineer, Backend (Platform - Payments Platform)
P2P
Senior Data Engineer
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
Tools
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.
- 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)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.