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workable

Data Engineer

Citylitics
Toronto, CAN
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
airflowbigquerygcpgeminigitopenai

Full Job Posting

Requirements

  • Proficiency in Python and SQL.
  • Proven experience (3+ years) working as a Data Engineer or Software Engineer in a cloud environment.
  • Experience building production data pipelines with an orchestrator like Airflow/Cloud Composer and a data warehouse like BigQuery.
  • Solid grasp of data engineering fundamentals: data modeling, ETL/ELT, and building idempotent, reliable pipelines.
  • Experience shipping LLM-powered features or pipelines to production with LLM APIs (e.g., Gemini, Claude, OpenAI): prompting, structured outputs, and tool/function calling.
  • Working knowledge of agent patterns (tool use, multi-step workflows, retrieval/RAG, MCP) and their production tradeoffs, such as cost, latency, and failure modes.
  • Daily, fluent use of AI coding agents (e.g., Claude Code, Cursor) in your workflow, with the judgment to review and verify what they produce.
  • Experience with Git, CI/CD, and cloud platforms (GCP preferred).
  • Experience building data apps or dashboards end to end, including a backend API and a frontend (e.g., React, TypeScript), is a plus.
  • Excellent problem-solving skills and the ability to work independently on ambiguous problems.
  • Excellent communication and collaboration skills. You'll be working closely with analysts, product, and other stakeholders.
  • Vacancy Status: This position is for an existing and active vacancy that the company is currently seeking to fill.

Benefits

  • What’s in it for you?
  • Make real-world impact: Influence positive change across one of the biggest societal challenges of our generation: building and maintaining sustainable public infrastructure.
  • Sell a genuinely differentiated platform: You’ll represent a disruptive, data-driven solution with a compelling value proposition in a market that is eager to engage.
  • Operate at the intersection of infrastructure, scale-up, and data science: We live where infrastructure meets AI and advanced data. There is no other team like ours in Toronto.
  • Move fast, learn faster: There’s no corporate bureaucracy here. You’ll accomplish more in a few months than you would in years at a large, entrenched technology company.
  • Be empowered by data and AI: We believe Data and AI will play an outsized role in the future of sales and decision-making. Every CityZen has access to generative AI tools and our full data universe to enhance productivity and encourage experimentation.
  • Grow with intention: We invest deeply in our people through in-role coaching, skill-based development, and clear internal promotion pathways.
  • Win as a team: We work hard, we support one another, and we celebrate progress along the way. We’re serious about solving infrastructure and just as serious about enjoying the journey together.
  • Citylitics is an equal opportunity employer. We are passionate about providing a safe workplace where everyone is accepted and has the opportunity to grow with us. We are committed to making diversity and inclusivity part of our culture!

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