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Jr Data Engineer

Citylitics
Toronto, CAN
Full-time
Onsite
CAD 70,000–80,000.
Discovered 1 weeks ago
PythonSQLAirflowCloud ComposerBigQueryData warehousing
Free

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Role overview

Citylitics is hiring a Junior Data Engineer to help build and maintain mission-critical data products.

The role focuses on production data pipelines, data modeling, and data warehouses that support customer-facing solutions.

The position is part of the Data Engineering department.

Compensation

  • The stated salary range is CAD 70,000–80,000.
  • The source does not specify the salary cadence.

Workplace

  • This is a hybrid role based out of Citylitics’ Toronto office.
  • The role requires at least 3 days in the office per week.

Responsibilities

  • Design, build, test, deploy, monitor, and maintain reliable data pipelines using Airflow and BigQuery.
  • Collaborate on data requirements and design efficient data models within BigQuery.
  • Optimize queries, pipelines, and dashboard performance.
  • Support Custom Solutions by taking bespoke client requests from proof of concept through production.
  • Translate client requirements into technical solutions and communicate project progress to stakeholders.
  • Improve data infrastructure and processes through new technologies and best practices.
  • Use AI tools to support development, debugging, design, and documentation.
  • Perform other duties as assigned.

Requirements

  • Proficiency in Python and SQL.
  • At least 2 years of experience building and maintaining data pipelines using Airflow or Cloud Composer.
  • Strong understanding of data warehousing and experience with BigQuery.
  • Understanding of ETL/ELT, data modeling, and idempotent, reliable pipelines.
  • Experience with Git and cloud platforms; GCP is preferred.
  • Experience with interactive dashboards or data applications is a plus.
  • Strong problem-solving, communication, and collaboration skills.
  • Comfort using AI tools such as Claude in daily work.

About Citylitics

Citylitics converts infrastructure documents and signals into sales intelligence for infrastructure vendors, engineering firms, and construction companies.

The company combines AI agents, fine-tuned models, an infrastructure signals graph, and human-in-the-loop quality assurance.

Its mission is to improve how infrastructure investments are made so communities can benefit from stronger infrastructure.

Benefits

  • The company highlights real-world infrastructure impact and work at the intersection of infrastructure, scale-up, data science, and AI.
  • Benefits include coaching, skill-based development, mentorship, promotion pathways, and access to generative AI tools.
  • Citylitics describes a collaborative, results-driven work environment.

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