Salary for Mid-level / Intermediate Data Engineer in Canada during 2024

Salary details

The average mid-level / intermediate Data Engineer salary lies between USD 85,000 and USD 136,800 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 12, 2025

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Engineer job listings are Engineering, SQL and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 3820 jobs SQL | 3775 jobs Python | 3718 jobs Pipelines | 3274 jobs ETL | 2780 jobs Data pipelines | 2515 jobs AWS | 2332 jobs Computer Science | 2183 jobs Architecture | 1984 jobs Spark | 1880 jobs Azure | 1876 jobs Security | 1721 jobs Big Data | 1610 jobs Agile | 1587 jobs Data quality | 1410 jobs Machine Learning | 1384 jobs Java | 1239 jobs GCP | 1195 jobs Snowflake | 1182 jobs Testing | 1172 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 2905 jobs Health care | 1503 jobs Flex hours | 1183 jobs Startup environment | 872 jobs Competitive pay | 866 jobs Team events | 815 jobs Equity / stock options | 712 jobs Flex vacation | 636 jobs Parental leave | 607 jobs Salary bonus | 607 jobs Insurance | 595 jobs Medical leave | 525 jobs Wellness | 415 jobs 401(k) matching | 342 jobs Fitness / gym | 163 jobs Home office stipend | 131 jobs Relocation support | 129 jobs Unlimited paid time off | 125 jobs Gear | 121 jobs Transparency | 117 jobs

Salary Composition for a Mid-level Data Engineer in Canada

The salary for a mid-level data engineer in Canada typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and benefits such as health insurance, retirement contributions, and paid time off. The composition can vary by region, with tech hubs like Toronto and Vancouver offering higher base salaries but potentially lower bonuses compared to smaller cities. Industry also plays a role; for instance, data engineers in finance or healthcare might receive higher bonuses compared to those in academia or non-profits. Company size can influence stock options and benefits, with larger companies often providing more comprehensive packages.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level data engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies like machine learning, cloud computing, and big data tools.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
• Leadership Roles: Seek opportunities to lead projects or teams, which can demonstrate your capability for higher-level positions.
• Industry Switch: Consider moving to industries that offer higher compensation for data engineering roles, such as finance or tech.

Educational Requirements for a Mid-level Data Engineer

Most mid-level data engineering positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data systems or require advanced analytical skills. A strong foundation in mathematics and statistics is also beneficial, as these skills are crucial for data manipulation and analysis.

Helpful Certifications for Data Engineers

Certifications can enhance your credibility and demonstrate your expertise in specific areas. Some valuable certifications for data engineers include:

• Google Cloud Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications validate your skills in cloud platforms and data engineering tools, making you a more competitive candidate.

Experience Required for Mid-level Data Engineer Roles

Typically, mid-level data engineer roles require 3-5 years of experience in data engineering or related fields. This experience should include hands-on work with data pipelines, ETL processes, and data warehousing solutions. Familiarity with programming languages such as Python, Java, or Scala, and experience with big data technologies like Hadoop, Spark, or Kafka, are often expected. Experience in cloud environments (AWS, Azure, Google Cloud) is increasingly important as more companies migrate their data infrastructure to the cloud.

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