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dataroles

Data Engineer (AWS / Snowflake / DBT / Airflow / Informatica IICS)

act digital Open · verified Oct 24, 2026
On-site Toronto Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at act digital. Toronto · no salary stated · we estimate CA$90,000–CA$123,250.

Estimated pay

act digital has not published a salary for this role. The figure below is our estimate, not theirs.

CA$90,000 – CA$123,250
What the middle half of mid-level data engineering roles in Toronto paid, among postings that did state a salary.
Worked out from 31 postings that stated pay, median CA$105,000. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationToronto
WorkplaceOn-site
PostedSep 4, 2025 · 1y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Assess data engineering designs and check that proposed solutions meet technical needs
  • Review code for quality, then help verify its readiness for deployment
  • Coordinate deployment work with vendor teams that develop the solutions
  • Work with client and vendor colleagues across regions and time zones

What you bring

  • At least four years in data engineering for mid-level consideration, or seven years for senior consideration
  • Strong working knowledge of AWS, Snowflake, DBT, Airflow and Informatica IICS
  • A computer science, engineering or related bachelor's or master's degree
  • Hands-on background designing data pipelines, reviewing code, validating work and deploying solutions

Who this fits

This role suits a mid-level or senior data engineer who can work with distributed, multicultural teams and communicate well in English. You’ll need to keep EST hours, with some flexibility for international collaboration; the project is remote-friendly. The work supports a commercial vaccines initiative, and pharma, healthcare or related data experience is a plus.

From the employer

About Act Digital

Act Digital is an international IT consulting firm with 5,000+ experts worldwide, supporting leading organizations in their digital transformation. In Canada, we specialize in Data & AI, Cybersecurity, Cloud & Infrastructure, and Software Delivery.

We are currently partnering with a global pharmaceutical leader on a major commercial vaccines project and are looking to strengthen their data engineering team with talented consultants.

📍 Canada | 🌍 Remote possible | ⏰ EST timezone

Project Context

You will integrate into the client’s internal team (Canada, USA, Europe) and collaborate with global vendor teams. Your mission will be to provide technical support, code validation, and deployment expertise to ensure the success of this strategic data initiative.

Key Responsibilities

  • Review and validate data engineering designs.

  • Perform code reviews and ensure technical quality.

  • Support deployment of solutions developed in collaboration with vendor teams.

  • Work closely with international teams across multiple time zones.

Tech Stack

  • Cloud: AWS

  • Data Warehouse: Snowflake

  • ETL / Integration: Informatica IICS

  • Data Transformation: DBT

  • Workflow Orchestration: Airflow

Profile

  • Proven experience as a Data Engineer (mid-level or senior).

  • Strong expertise with AWS, Snowflake, DBT, Airflow, and Informatica IICS.

  • Experience in pharma / vaccines / sales / contracting / claims domains is an asset.

  • Comfortable working in EST hours with some flexibility for international collaboration.

What We Offer

  • Join Act Digital, an international consulting firm with a strong presence in Canada.

  • Contribute to a high-impact healthcare project with global visibility.

  • Work in a multicultural, collaborative environment.

  • Long-term assignment, remote-friendly.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • Experience: Minimum 4+ years in Data Engineering (mid-level) or 7+ years (senior).

  • Technical expertise:

    • Strong proficiency with AWS, Snowflake, DBT, Airflow, and Informatica IICS.

    • Solid experience in data pipeline design, code review, validation, and deployment.

  • Soft skills:

    • Strong analytical and problem-solving mindset.

    • Ability to work in a multicultural, distributed team.

    • Excellent communication skills in English (French is a plus).

  • Nice to have:

    • Knowledge of pharmaceutical / vaccines / sales & contracting / claims data domains.

    • Previous experience in healthcare or regulated industries.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.