Data Engineer

Insight Global; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading data solutions company in Toronto is looking for a Data Engineer to design and maintain data infrastructure supporting chatbot intelligence. Responsibilities include building ETL pipelines with Airflow, developing workflows in Python, ensuring data quality, and collaborating with AI engineers. The ideal candidate has strong Python experience, Airflow knowledge, and understanding of compliance in data practices.

Qualifications

• Strong experience with Python for data engineering.
• Hands‑on experience with Airflow (DAG design, scheduling, monitoring).
• Knowledge of SQL, data modeling, and cloud data platforms.
• Experience with structured and unstructured data.
• Understanding of privacy, compliance, and secure data practices.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Airflow.
• Develop data ingestion, transformation, and validation workflows in Python.
• Ensure data quality, lineage, and observability across the platform.
• Collaborate with AI engineers to support model training and evaluation.
• Implement secure data‑handling practices aligned with Canadian health‑data regulations.
• Optimize data storage, retrieval, and processing performance.

Skills

Python

Airflow

SQL

Data modeling

Data quality

Compliance

Data handling practices

Job description

Job Description

The data engineer will design and maintain the data infrastructure that powers the chatbot’s intelligence. This includes building pipelines, ensuring data quality, and enabling safe, compliant use of health‑related datasets.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Airflow
• Develop data ingestion, transformation, and validation workflows in Python
• Ensure data quality, lineage, and observability across the platform
• Collaborate with AI engineers to support model training and evaluation
• Implement secure data‑handling practices aligned with Canadian health‑data regulations
• Optimize data storage, retrieval, and processing performance

Qualifications

• Strong experience with Python for data engineering
• Hands‑on experience with Airflow (DAG design, scheduling, monitoring)
• Knowledge of SQL, data modeling, and cloud data platforms
• Experience with structured and unstructured data
• Understanding of privacy, compliance, and secure data practices