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Ampleinsightinc

Data Engineer

  • Seen live on Ampleinsightinc's site today
  • Mid level
Pay
Not stated
Location
Toronto, Ontario, Canada
Open for
12+ days
First seen
Oct 23, 2026
Apply on Ampleinsightinc's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Ampleinsightinc's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ampleinsightinc, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

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