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Data Engineer

theapplabb Open · verified Oct 24, 2026
Toronto Full-time Mid-level Data Engineering

At a glance

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

Estimated pay

theapplabb 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
EmploymentFull-time
PostedMar 3, 2025 · 1y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build ETL and ELT workflows that move structured and unstructured data through reliable pipelines
  • Improve warehouses, databases and cloud storage, then connect sources through APIs, streams and batch jobs
  • Track data-system performance, investigate problems and make changes that improve speed and reliability
  • Work with AI and machine-learning teams on data models and analytics, while protecting data quality and security

What you bring

  • Strong working experience with Python, SQL and Scala for processing data
  • Practical experience with ETL systems, pipeline development and orchestration tools such as Airflow or dbt
  • Expertise in Spark, Hadoop or comparable big-data technologies
  • Knowledge of AWS, GCP or Azure, plus relational and NoSQL databases

Who this fits

This mid-level role suits a data engineer who can build and maintain cloud-based pipelines and collaborate with data scientists, engineers and business stakeholders. The role is based in Toronto, Canada.

From the employer

About TheAILabb:

TheAppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to create transformative experiences for businesses worldwide. If you’re passionate about building robust data infrastructure to power cutting-edge applications, this is the role for you!

Role Overview:

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will collaborate with data scientists, engineers, and business stakeholders to enable data-driven decision-making.


Key Responsibilities:

· Build & Maintain Data Pipelines: Design and develop scalable ETL/ELT workflows for structured and unstructured data.

· Data Architecture & Storage: Optimize data warehouses, databases, and cloud storage solutions.

· Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources.

· Performance & Scalability: Monitor, troubleshoot, and improve data systems for speed and reliability.

· Collaboration & Strategy: Work closely with AI/ML teams to support data modeling and analytics initiatives.

· Data Governance & Security: Ensure data quality, security, and compliance with industry best practices.


Required Skills & Qualifications:

· Technical Proficiency:

· Strong experience with Python, SQL, and Scala for data processing.

· Hands-on experience with ETL frameworks, data pipelines, and workflow orchestration tools (e.g., Apache Airflow, DBT).

· Expertise in Big Data Technologies (e.g., Spark, Hadoop).

· Knowledge of Cloud Platforms (AWS, GCP, or Azure) and services like S3, Redshift, BigQuery,or Snowflake.

· Experience with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).

· Familiarity with streaming technologies (Kafka, Kinesis, or Pub/Sub) is a plus.

· Soft Skills:

· Strong problem-solving and analytical thinking.

· Ability to work in a fast-paced, agile environment.

· Excellent communication and collaboration skills.

Nice-to-Have:

• Exposure to AI/ML workflows and data science frameworks.

• Experience with CI/CD for data engineering.

• Knowledge of data privacy regulations (GDPR, CCPA).


Why Join Us?

• Work on large-scale cloud-based data platforms with cutting-edge technologies.
• Collaborate with a dynamic, innovative, and data-driven team.
• Competitive salary
• Opportunities for career growth and continuous learning.


Why you’ll love TheAILabb?

We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAILabb, our culture is geared towards creativity, collaboration, and flexibility.

· Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)

· We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

· TheAILabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAILabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.

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.