Citylitics delivers predictive intelligence on local utility & public infrastructure markets

Citylitics is at the forefront of solving critical infrastructure data challenges through their sales intelligence platform. The company transforms millions of unstructured documents into valuable intelligence feeds and datasets, accessible through an intuitive interface. Their mission is to facilitate faster, more transparent connections between solution providers and cities with infrastructure needs.

As a Full Stack Software Engineer at Citylitics, you'll join a team working at the intersection of infrastructure, scaleup, and data science/AI. The role demands expertise in both backend and frontend technologies, with a focus on building scalable web applications. You'll be responsible for data modeling, API development, and frontend integration, while working in an environment that encourages innovation and experimentation with AI tools.

The position offers a unique opportunity to contribute to solving one of society's biggest challenges: sustainable public infrastructure. You'll work in a fast-paced environment without corporate bureaucracy, where your impact can be significant and immediate. The company values technical excellence, clear communication, and continuous learning.

Working at Citylitics means joining a team that combines technical innovation with meaningful impact. You'll have access to cutting-edge AI tools, participate in an internal mentorship program, and have clear paths for professional growth. The company culture emphasizes both hard work and team celebration, creating an environment where you can thrive while contributing to critical infrastructure solutions.

Full Stack Software Engineer role at Citylitics, building predictive intelligence platforms for infrastructure markets, requiring 3+ years of experience in web development and distributed systems.

Software Engineer (Full Stack)

Citylitics is at the forefront of solving critical infrastructure data challenges through their sales intelligence platform. The company transforms millions of unstructured documents into valuable intelligence feeds and datasets, facilitating better connections between solution providers and cities with infrastructure needs. As a Data Engineer, you'll join a close-knit team building mission-critical data pipelines using Apache Airflow, Google Cloud Platform services including Dataflow, BigQuery, and Vertex AI. The role demands both technical expertise and collaborative skills, focusing on designing, building, and maintaining both streaming and batch data pipelines. You'll work in an environment that values innovation, proactive problem-solving, and continuous learning. The company operates at the intersection of infrastructure, scaleup, and data science/AI, offering a unique opportunity to impact sustainable public infrastructure development. The team culture emphasizes quick execution, innovation through experimentation, and celebrating achievements together. With access to cutting-edge AI tools and a comprehensive data universe, you'll have the resources to drive significant technological advancements in infrastructure intelligence.

Data Engineer role at Citylitics, building and maintaining data pipelines using Apache Airflow and GCP services to transform infrastructure intelligence.

Data Engineer

Citylitics is seeking a skilled and enthusiastic Data Engineer to join their growing team. The role requires solid experience with Apache Airflow and Google Cloud Platform (GCP) services like Dataflow, BigQuery, and Vertex AI. The ideal candidate will have 2+ years of experience building and maintaining complex data pipelines in a production environment.

Key responsibilities include:
- Designing, building, and maintaining scalable data pipelines using Apache Airflow, Dataflow, and other GCP services
- Collaborating on data modeling and optimization within BigQuery
- Implementing monitoring and troubleshooting for data pipelines
- Working closely with other teams to translate business requirements into technical solutions
- Contributing to the ongoing improvement of data infrastructure and processes

The company offers a unique opportunity to work on impactful projects in the infrastructure sector, using cutting-edge technologies and AI tools. Citylitics provides a dynamic work environment with opportunities for growth, mentorship, and internal promotions.

Technologies used include Python, Django, Cloud SQL, Airflow/Cloud Composer, Google Cloud Platform, Dash & Plotly.

Citylitics is committed to diversity, inclusivity, and providing equal opportunities for all employees.

Citylitics is hiring a Data Engineer to build and maintain scalable data pipelines using Apache Airflow and GCP services.

Junior Data Engineer

Citylitics is solving the hardest data problems in infrastructure while building the sales intelligence platform that enables a faster, more transparent, and more efficient infrastructure marketplace. We turn millions of unstructured documents into high value intelligence feeds and datasets that are available on an intuitive user experience.

As a Junior Data Engineer, you will play a key role in developing and maintaining our data pipelines and dashboards. You will work closely with senior engineers to design, implement, and test data solutions using a variety of tools and technologies. Your primary focus will be on building interactive and informative dashboards using Dash and Plotly - you will also be contributing to the development of our Airflow-based data pipeline infrastructure. You will have the opportunity to gain experience working with Google Cloud Platform (GCP).

Key Responsibilities:
- Develop and maintain interactive dashboards using Dash and Plotly
- Contribute to the development and maintenance of complex data pipelines using Apache Airflow
- Implement data quality checks and monitoring
- Collaborate with senior engineers on new data solutions
- Work with stakeholders to understand data needs and create actionable dashboards
- Assist in data migration and integration
- Contribute to documentation and maintenance of data infrastructure
- Explore new technologies in the data engineering landscape

Technologies:
- Backend: Python, Django, Cloud SQL, Airflow/Cloud Composer
- Cloud Infrastructure: Google Cloud Platform
- Other Tools: Dash & Plotly for dashboards hosted in Cloud Run

Why Citylitics?
- Work for one of the top 15 innovative analytics startups in Canada
- Influence positive change in sustainable public infrastructure
- Support a disruptive solution in an industry with no direct competition
- Accomplish more in months than years at a large tech company
- Access to Generative AI tools and full Data Universe
- Internal mentorship program and professional growth opportunities
- Diverse and inclusive workplace culture

Citylitics is an equal opportunity employer committed to diversity and inclusivity.

Junior Data Engineer role at Citylitics, developing data pipelines and dashboards using Python, Dash, Plotly, and Airflow on Google Cloud Platform.

Citylitics is seeking a Junior Data Engineer to join their Data Team in Toronto, Canada. This is a full-time, on-site position perfect for an entry-level software engineer specializing in data. The role requires at least one year of experience with both Dash and Airflow, indicating a focus on data visualization and workflow management. Key responsibilities include ensuring data quality and implementing checks in dashboards and pipelines. The ideal candidate should be legally able to work in Canada and have a strong interest in Citylitics' work. The company values motivation and seeks someone who can contribute to their data-driven approach in the urban technology sector. This position offers an opportunity to work with cutting-edge data technologies in a growing field of urban analytics.

Citylitics Engineering Jobs

Citylitics delivers predictive intelligence on local utility & public infrastructure markets