Entry Level Data Analyst jobs in Canada
Senior Software Engineer, Data Ecosystem & AI
Menlo Ventures
Senior Software Engineer, Data Ecosystem
Menlo Ventures
Senior Geospatial Data Scientist
KorrAI
Senior Data Scientist - Remote AI & Production Analytics
Medium
Senior Data Scientist (Remote from Canada)
Medium
Discover more opportunities than anywhere else. Find more jobs now(CONTRACTS) Python Aircraft Data Model Developer - Loads and Dynamics
Bombardier
Azure Data Engineer
Canadian Imperial Bank of Commerce
Laboratory Assistant I
Alberta Health Services
Connect with headhunters to apply for similar jobsData Scientist/Architect
Bombardier
Senior Data Engineer (Databricks)
Fluent
Senior Data Scientist
Canadian Tire
Senior Data Scientist - Campaign Analytics & ML
Canadian Tire
Senior Data Scientist, Decisions - Lyft Business
Lyft
Senior Data Scientist, Algorithms — Hybrid, High-Impact ML
Lyft
Machine Learning Engineer - Senior
Diverse Lynx
Senior Data Scientist, Algorithms - Lyft Business
Lyft
Hybrid Senior Manager: Data & Systems Performance
Danone
Senior Manager, Data and Systems Performance
Danone
Senior Data Scientist — Trust & Safety Decisions
Lyft
Senior Data Scientist, Decisions - Trust & Safety
Lyft
Sr. Machine Learning Engineer, Ads Ranking
Senior Software Engineer, Data Ecosystem & AI
Job summary
A leading software company located in Canada is seeking a Senior Software Engineer for its Data Ecosystem team. You will build self-service data solutions, manage data pipelines, and mentor team members. The ideal candidate has over 5 years of experience in software engineering, familiar with data technologies like Snowflake and Python. This position offers a dynamic environment aimed at unlocking the power of equity ownership in the private markets.
Benefits
Qualifications
- 5+ years of experience as a Software Engineer.
- Able to work in an energetic and agile environment.
- Act as an owner, taking responsibility for outcomes.
- Eager to move fast while building for the future.
- Familiar with data platforming technologies.
Responsibilities
- Build self-serviceable data experiences for customers.
- Create fault-tolerant data pipelines in real-time.
- Draft role-based controls for data access.
- Leverage AI technology to enhance customer experience.
- Mentor emerging talent in the team.
Skills
Tools
* 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.