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Data Engineer

  • Toronto, ON, Canada

On-site

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Workplace
On-site
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Data Engineer - Codd Labs

Location: Toronto / GTA, Ontario

Work arrangement: On-site, daily

Employment: Full-time

About Codd Labs

Codd Labs is a Toronto-based technology company building practical, AI-enabled data solutions for real client work. We're a small, hands-on team where strong engineering fundamentals, a fast learning curve, and ownership matter more than a checklist of vendor certifications.

The Role

We're hiring a Data Engineer to work across data pipelines, transformations, modeling, storage, analytics, visualization support, and troubleshooting. This is a good fit for someone with roughly 1–2 years of relevant experience, but we're also open to a strong entry-level candidate who can show solid fundamentals and the ability to pick things up quickly.

Core foundations

  • SQL
  • Python
  • PySpark
  • Data modeling
  • Data storage concepts
  • Data transformation
  • Strong analytical and troubleshooting ability

Helpful, not mandatory

  • AWS
  • Snowflake
  • OLTP / OLAP concepts
  • Analytics or visualization experience

We don't expect you to have touched every tool in our stack: strong fundamentals and the ability to learn fast matter more than having one specific vendor on your resume.

What you'll do

  • Build and maintain data pipelines
  • Transform and model data for downstream use
  • Work across different storage and processing patterns
  • Support analytics and visualization needs
  • Investigate and resolve data and pipeline issues
  • Learn new tools as project needs evolve

Location & eligibility

  • Must already be based within commuting distance of Toronto/GTA and able to work onsite daily
  • Must be legally authorized to work in Canada and able to start without requiring employer-sponsored work authorization
More about this job

Responsibilities

The Data Engineer will build and maintain data pipelines while transforming and modeling data for downstream use. They will also support analytics and visualization needs while investigating and resolving pipeline issues.

Requirements

Candidates should have 1-2 years of relevant experience with strong foundations in SQL, Python, and data modeling. Applicants must be based in the Toronto/GTA area and possess legal authorization to work in Canada.

Skills

  • SQL
  • Python
  • PySpark
  • Data modeling
  • Data storage
  • Data transformation
  • Analytical ability
  • Troubleshooting
  • AWS
  • Snowflake
  • OLTP
  • OLAP
  • Data pipelines
  • Visualization

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering

Keywords

  • Data Engineer
  • SQL
  • Python
  • PySpark
  • Data Modeling
  • Data Storage
  • Data Transformation
  • AWS
  • Snowflake
  • OLTP
  • OLAP
  • Data Pipelines
  • Analytics
  • Visualization
  • Artificial Intelligence
  • Troubleshooting

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