Title: Senior Data Engineer

Duration: Full-Time (Permanent)

Location: Toronto, ON- Hybrid - 4X/week in office- Friday's remote

Compensation:  $130K-$135K + 15% bonus

Start Date: ASAP

Interview Process:

• 1st round - 2 Lead Engineers- onsite

• 2nd round - whiteboarding session onsite

Day-to-Day responsibilities:

• Develop and maintain data engineering solutions using AWS (Glue, EMR, PySpark, etc.)

• Participate in agile ceremonies and execute tasks independently within an Agile SDLC framework

• Ensure code is clean, readable, and well-documented

• Perform root cause analysis for operational incidents

• Engage in mentoring, coaching, and promoting a culture of learning and professional development

• Act as a liaison with business partners and peer IT teams

• Drive continuous improvement and foster innovation through experimentation

Must-Haves:

• 5+ years of professional experience in software development

• Undergraduate degree or diploma in Computer Science, Engineering, or related field

• Advanced experience with at least one programming language (Python preferred; C++ and Java are assets)

• Hands-on experience in AWS Data & Analytics stack, especially:

  • AWS EMR

  • AWS Glue

  • Lake Formation

  • Airflow

  • PySpark

• Strong understanding of version control, testing methodologies, and Agile development practices

• Ability to work independently, frame problems clearly, and think critically about business and technical challenges