Salary for Entry-level / Junior Data Engineer in Canada during 2024

Salary details

The average entry-level / junior Data Engineer salary lies between USD 49,107 and USD 111,900 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: Dec. 15, 2024

Top 20 Job Tags for Entry-level / Junior Data Engineer roles

The three most common job tag items assiciated with entry-level / junior Data Engineer job listings are Python, SQL and Engineering. 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:

Python | 1212 jobs SQL | 1179 jobs Engineering | 1091 jobs Pipelines | 764 jobs Computer Science | 647 jobs ETL | 642 jobs Azure | 547 jobs AWS | 541 jobs Data pipelines | 493 jobs Big Data | 465 jobs Spark | 457 jobs Machine Learning | 426 jobs Architecture | 369 jobs Agile | 358 jobs GCP | 350 jobs Java | 330 jobs Security | 319 jobs DevOps | 290 jobs Power BI | 284 jobs Testing | 273 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Engineer roles

The three most common job benefits and perks assiciated with entry-level / junior 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 | 811 jobs Health care | 317 jobs Flex hours | 301 jobs Team events | 296 jobs Equity / stock options | 230 jobs Startup environment | 215 jobs Competitive pay | 211 jobs Insurance | 183 jobs Medical leave | 135 jobs Salary bonus | 135 jobs Flex vacation | 108 jobs Fitness / gym | 86 jobs Parental leave | 84 jobs Wellness | 84 jobs 401(k) matching | 55 jobs Relocation support | 55 jobs Transparency | 25 jobs Gear | 20 jobs Home office stipend | 19 jobs Unlimited paid time off | 17 jobs

Salary Composition for Entry-Level/Junior Data Engineer Roles

In Canada, the salary composition for an entry-level or junior data engineer typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Toronto or Vancouver might offer higher base salaries compared to smaller cities. In addition to the base salary, some companies offer performance-based bonuses, which can range from 5% to 15% of the annual salary. Larger companies or those in competitive industries such as finance or tech might also provide additional remuneration in the form of stock options, profit-sharing, or other incentives. Benefits such as health insurance, retirement plans, and professional development allowances are also common components of the overall compensation package.

Steps to Increase Salary from an Entry-Level Position

To increase your salary from an entry-level data engineering position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in high-demand areas like cloud computing, big data technologies, and machine learning.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive in the job market.
• Networking: Build a strong professional network by attending industry conferences, meetups, and online forums. Networking can open up opportunities for higher-paying roles.
• Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions and salary increases.
• Advanced Education: Consider pursuing advanced degrees or specialized courses that can lead to higher-level positions and salaries.

Educational Requirements for Entry-Level Data Engineers

Most entry-level data engineering positions require at least a bachelor's degree in a related field such as computer science, information technology, engineering, or mathematics. Some employers may also consider candidates with degrees in other quantitative fields if they have relevant technical skills and experience. A strong foundation in programming, databases, and data structures is essential. Additionally, coursework or projects involving data analysis, machine learning, or big data technologies can be advantageous.

Helpful Certifications for Data Engineers

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for data engineers include:

• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• 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 attractive candidate for employers.

Experience Requirements for Entry-Level Roles

For entry-level data engineering positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects. Experience with programming languages such as Python, Java, or Scala, as well as familiarity with SQL and database management, is often required. Hands-on experience with data processing frameworks like Apache Hadoop or Apache Spark can also be beneficial.

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