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Added 14 mins ago
UA
Software Engineer Intern - QuantumBlack, AI by McKinsey at McKinsey & Company
UCI-OC Alliance
Engineer, BC
- Volunteer
…solutions. You'll help build robust technical foundations for production-ready, AI-enabled systems. Your contributions will directly support the firm's ability to accelerate AI adoption,…
Added 14 mins ago
PA
Maintenance Operational Controller
PROVINCIAL AEROSPACE LTD
NL
- Full-time
Coordinate and communicate with Flight Operations, Maintenance Production, and Planning to ensure availability of aircraft in conjunction with the planned flight schedules and the Aircraft…
Added 59 mins ago
AM
Software Engineer, AI & Engineering Productivity Tools
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is seeking a Software Engineer, AI & Engineering Productivity Tools to build platforms, automation, and AI-powered tools that improve engineering productivity across ASIC design and…
Added 3 hours ago
I
Process/Project Engineer
Innophos
Port Maitland, ON
- $90,000 to $105,000 CAD / year
- Full-time
The Process/Project Engineer is primarily responsible for project development, estimation, planning, and execution. In addition, they are responsible for conducting engineering studies…
Added 3 hours ago
CH
Injection Molding Assistant Supervisor
Canadian Hospital Specialties
Mississauga, ON
- Full-time
Troubleshoot production issues and work with maintenance and Manufacturing Engineer to minimize downtime.
Added 3 hours ago
CH
Injection Molding Assistant Supervisor
Canadian Hospital Specialties
Mississauga, ON
- Full-time
Troubleshoot production issues and work with maintenance and Manufacturing Engineer to minimize downtime.
Added 4 hours ago
WF
Head Electrician
West Fraser
Edson, AB
- Full-time
Work collaboratively with Production, Technical and Purchasing departments to effectively maintain mill equipment
Added 4 hours ago
E
Intermediate/Senior Instrumentation & Controls Engineer
Engcomp
Saskatoon, SK
- Full-time
As an instrumentation and controls engineer, you will leverage your expertise to lead and support a variety of engineering initiatives across different sectors. From concept to execution,…
Added 5 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Experience with testing, production support, and system reliability.
Added 5 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Experience with testing, production support, and system reliability.
Added 5 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Experience with testing, production support, and system reliability.
Added 8 hours ago
P
Senior Software Engineer- Wireless (Contract)
Photon-IV
Canada
- Full-time
Joining the company means contributing to cutting-edge communication systems that support critical missions. Team members collaborate in a multidisciplinary environment that values…
Added 8 hours ago
A
New Graduate, Mechanical Engineering (2027)
AtkinsRéalis
Calgary, AB · Vancouver, BC · Winnipeg, MB · Bedford, NS · Toronto, ON
- Full-time
Design and manufacturing: Development of products, machines and equipment, from design to production.
Added 8 hours ago
A
Civil Structural Engineer
AtkinsRéalis
Montreal, QC
- Full-time
AtkinsRéalis is looking for a civil / structural engineer to join a team dedicated to engineering works mainly targeting hydroelectric projects and who will be able to use his or her…
Added 8 hours ago
A
Smart 3D Administration and Support Specialist
AtkinsRéalis
Mississauga, ON
- Full-time
The Smart 3D (SP3D) Support Specialist supports the Hexagon Smart 3D application in a project environment with regards to the following: User support, Project support, SP3D project…
Added 10 hours ago
S
Project Engineer
Shell
Sarnia, ON
- Full-time
Shell is seeking for Project Engineer to join its team in Sarnia.
Added 10 hours ago
MA
Solutions Engineer
Mosaic AI
Toronto, ON
- Full-time
Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered…
Added 10 hours ago
S
Industrial Designer
Sevens™
Canada
- Part-time
Support the transition from an initial prototype toward a production-oriented design.
Added 10 hours ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax,…
Added 10 hours ago
IO
Upstream Engineer - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
…maintenance, technical specialists, and geoscience professionals to support safe, reliable, and efficient operations. You'll have the opportunity to apply your technical knowledge to…
Added 11 hours ago
ST
Systems Installation Integration Engineer
SEGULA Technologies
Montreal, QC
- Full-time
Position Overview: We are seeking a Systems Installation Integration Engineer to lead key design work packages and resolve complex physical integration challenges for aircraft development…
Added 11 hours ago
ST
Senior Systems Installation Integrator
SEGULA Technologies
Montreal, QC
- Full-time
Position Overview: We are seeking a Senior Systems Installation Integration Engineer to provide high-level technical leadership for complex aircraft development and sustaining initiatives.…
Added 11 hours ago
ST
EWIS Integrator (Senior Level)
SEGULA Technologies
Montreal, QC
- Full-time
Position Overview: We are seeking a Senior EWIS Integration Engineer to provide high-level technical leadership for complex aircraft development programs and sustaining initiatives. In this…
Added 11 hours ago
ST
EWIS Integrator (Mid Level)
SEGULA Technologies
Montreal, QC
- Full-time
Position Overview: We are seeking a mid-level EWIS Integration Engineer to lead core work packages and resolve complex electrical wiring physical integration challenges on aircraft…
Added 12 hours ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
…Director of Product and Engineering. This is a role for an engineer who leads, not a manager who used to build. You will lead a team of seven to eight experienced engineers who already own…

Citylitics

Data Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: Proven experience (3+ years) working as a Data Engineer or Software Engineer in a cloud environment.
Posting language: English
Posted: Oct 2, 2026

Original job description

About Citylitics Inc.

Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America.

Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America.

Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement.

Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines.

Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure.

Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together.

Who Are We Looking For?

We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running.

This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI.

Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply.

This is a hybrid role based out of Citylitics’ Toronto office and requires 3+ days in-office per week.

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

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!

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More about this job

Responsibilities

You will design, build, and operate production data pipelines that leverage AI to power customer-facing infrastructure intelligence solutions. Additionally, you will partner with stakeholders to define data models and maintain reliable, scalable data products end-to-end.

Requirements

The role requires 3+ years of experience in data engineering within a cloud environment, specifically with Python, SQL, and orchestration tools like Airflow. You must also have hands-on experience shipping LLM-powered features or agentic workflows to production.

Skills

Python
SQL
Data Engineering
Airflow
Cloud Composer
BigQuery
LLM
Agentic Workflows
Data Modeling
ETL/ELT
GCP
Git
CI/CD
Prompt Engineering
RAG
API Development

Benefits

In-role coaching
Skill-based development
Internal promotion pathways
Generative AI tools access

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
GCP
Cloud Composer
BigQuery
Airflow
LLM
Generative AI
Agentic Workflows
Data Modeling
ETL
ELT
RAG
Vertex AI
Cloud SQL
Git
CI/CD
API
React
TypeScript
Infrastructure
Predictive Intelligence
Data Pipelines
Prompt Engineering
MCP
Claude Code
Cursor
Data Warehouse
Software Engineering

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