Data Engineer
Key Skills for This Role
Full Job Posting
What Will You Accomplish? / How You Will Make An Immediate Impact
Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build.
Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them.
AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and function calling, embeddings and retrieval, structured outputs, and production concerns like retries, idempotency, cost, and latency. You'll also own evaluation datasets, LLM-as-judge and rule-based QA checks, and benchmarks that turn results into clear decisions about models, prompts, and architecture.
Continuous Improvement: Drive the ongoing improvement of our data infrastructure and processes, including evaluating and introducing new technologies and best practices. We're an AI-first team that uses coding agents like Claude Code daily for development, debugging, review, and documentation, and we're looking for someone who can help shape how we push that further.
Other duties as assigned
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.
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!
About Citylitics
Private Canadian software company providing predictive public-infrastructure sales intelligence to manufacturers, vendors, and engineering and construction firms.
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