Posted 22 months ago
Data Engineer
@ Ample Insight Inc.
Toronto, Ontario
Overview
Ample Insight Inc. is hiring a full-time data engineer to build and scale data pipelines and tools that support data scientists. The work involves architecting ETL workflows and schemas, tuning performance, and working with user engagement, marketing and finance data. The posting highlights very competitive compensation and autonomy on projects.
Responsibilities:
- Build high quality data tools and pipelines
- Architect ETL workflows and schemas
- Tune performance of ETL jobs, SQL and databases
- Support data scientists with reliable data
Requirements summary:
- Degree in computer science, engineering, math or statistics
- Hands-on experience with user engagement, social, marketing or finance data
- Proficient in Python and data science libraries
- Extensive relational database and SQL experience
- Working knowledge of Snowflake
Tools & skills
Source and dates
Employer career site / ATS feed · smartrecruiters
- Employer posting date
- 2025-01-27
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | IT |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering, Mathematics, Statistics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Ample Insight Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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Full company description
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
- LinkedIn followers
- 26,437
- People associated on LinkedIn
- 14
- Reported office locations
- 720 King St W, Suite 908, Toronto, Ontario M5V 3S5, CA
- Business categories
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Ample Insight Inc.
- Ample Insight
- Specialties
- Data Science
- Machine Learning
- AI
- Analytics
- Computer Vision
- Software Engineering
- MVP
- Data Engineering
- Data Infrastructure
- Data Governance
- Generative AI
- LLM
- and ChatGPT
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 11-50 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2018 |
| Specialties | Data ScienceMachine LearningAIAnalyticsComputer VisionSoftware EngineeringMVPData EngineeringData InfrastructureData Governance |
| Open jobs on Jobsy | 8 |
| View page |
Company Description
You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
Job Description
We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.
Qualifications
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- Hands on experience working with user engagement, social, marketing, and/or finance data
- Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
- Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
- Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
- Working knowledge of Snowflake
- Experience working with Airflow is a strong plus
- Devops experiences is a plus
Additional Information
We have very competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
Journal
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