Full Stack Engineer
Toronto, ON · On-site
Preferred Qualifications Experience with Parquet, DuckDB, or other analytical databases. Familiarity with LiteLLM or multi-LLM routing frameworks. Working knowledge of Java and Unix/Linux ...
Full Stack Engineer
Toronto, ON · On-site
Preferred Qualifications Experience with Parquet, DuckDB, or other analytical databases. Familiarity with LiteLLM or multi-LLM routing frameworks. Working knowledge of Java and Unix/Linux ...
Principal Software Engineer
Toronto, ON · On-site
CA$112K - CA$162K/yr
Familiarity with frameworks such as Spark/PySpark , DuckDB , or similar modern engines, and the ability to evaluate trade-offs between them for different workloads. * SQL & Programming: Expert ...
Principal Software Engineer
Toronto, ON · On-site
CA$112K - CA$162K/yr
Familiarity with frameworks such as Spark/PySpark , DuckDB , or similar modern engines, and the ability to evaluate trade-offs between them for different workloads. * SQL & Programming: Expert ...
Experience with Python data analysis libraries and frameworks such as Pandas, Polars, or DuckDB. Experience analyzing complex data models, assessing data quality, and translating business questions ...
New
Experience with Python data analysis libraries and frameworks such as Pandas, Polars, or DuckDB. Experience analyzing complex data models, assessing data quality, and translating business questions ...
New
Full-Stack Developer
Toronto, ON · On-site
Work across application and data systems, including Snowflake, PostgreSQL, analytical datasets, third-party APIs, asynchronous workflows, and embedded analytical engines such as DuckDB and DataFusion
Quick apply
Full-Stack Developer
Toronto, ON · On-site
Work across application and data systems, including Snowflake, PostgreSQL, analytical datasets, third-party APIs, asynchronous workflows, and embedded analytical engines such as DuckDB and DataFusion
Senior Full-Stack Developer
Toronto, ON · On-site
Work across our stack AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion * Use Claude Code and other coding AI agents across the development lifecycle ...
Quick apply
Senior Full-Stack Developer
Toronto, ON · On-site
Work across our stack AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion * Use Claude Code and other coding AI agents across the development lifecycle ...
Duckdb information
What is DuckDB?
DuckDB is an in-process SQL OLAP (Online Analytical Processing) database management system designed for fast analytical data processing. Unlike traditional client-server databases, DuckDB runs directly within your application and works well with data science tools and workflows. It is lightweight, easy to install, and supports SQL queries on data stored in CSV, Parquet, and other formats, making it popular for data analysis and research use cases.
What are some common challenges faced by professionals working with DuckDB in data engineering roles?
Professionals using DuckDB in data engineering often encounter challenges such as optimizing query performance for large-scale datasets, integrating DuckDB with existing data pipelines, and ensuring compatibility with various data formats and sources. Additionally, since DuckDB is relatively new compared to other database systems, users may find limited community support or resources for advanced use cases. Collaborating with data scientists and analysts is key, as DuckDB is often used for interactive analytics, requiring close communication to tailor solutions that meet both performance and usability needs.
What are the key skills and qualifications needed to thrive as a DuckDB developer, and why are they important?
To thrive as a DuckDB Developer, you need strong SQL proficiency, a background in database management, and experience with analytical data processing, ideally supported by a degree in computer science or a related field. Familiarity with DuckDB, data integration tools, and programming languages such as Python or R is essential. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills ensure efficient data analysis, seamless database integration, and the ability to convey insights to technical and non-technical stakeholders.
What is the difference between Duckdb vs Data Analyst?
| Aspect | Duckdb | Data Analyst |
|---|---|---|
| Primary Role | Embedded analytical database engine for data processing | Interprets data, creates reports, and provides insights |
| Required Skills | SQL, data management, database integration | Data visualization, statistical analysis, SQL |
| Work Environment | Developers, data engineers, embedded systems | Business environments, analytics teams, offices |
| Certifications | None specific, SQL knowledge preferred | Certified Data Analyst, SQL certifications |
Duckdb is a database engine used mainly by developers and data engineers for embedded data processing, while Data Analysts focus on interpreting data and generating insights. Both roles require SQL skills, but their work environments and objectives differ significantly.
What can I do with DuckDB?
As a data analyst or developer, you can use DuckDB to perform efficient in-process SQL queries on large datasets, often within Python or R environments. It supports complex analytical queries, data transformation, and integration with data science workflows, making it suitable for data analysis, machine learning, and reporting tasks.
What are popular job titles related to Duckdb jobs in Ontario?
For Duckdb jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Duckdb jobs in Ontario look for?
The top searched job categories for Duckdb jobs in Ontario are:
Full-time
Re-posted 10 days ago
Job description
Job Description Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will work as part of a collaborative DevOps team, delivering production-ready solutions while contributing to automation, continuous improvement, and operational excellence. Responsibilities Design, develop, test, deploy, and support AI applications throughout the software development lifecycle.
Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi-step workflows. Develop and integrate RESTful APIs and backend services. Collaborate with cross-functional teams to deliver business requirements using iterative development.
Support production systems, troubleshoot issues, and contribute to continuous improvement. Identify and address technical debt while delivering new functionality. Write automated unit tests and contribute to CI/CD and DevOps practices.
Participate in code reviews, knowledge sharing, and team collaboration. Required Qualifications: 3+ years of software engineering experience. Strong Python development skills.
Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling. Experience with LangChain, LangGraph, or similar LLM orchestration frameworks. Strong SQL skills and experience designing RESTful APIs.
Experience with cloud-based LLM platforms (e.g., Azure OpenAI or equivalent). Familiarity with LLM observability tools such as LangFuse or LangSmith. Strong analytical and problem-solving skills
Experience writing unit tests and supporting production applications. Preferred Qualifications Experience with Parquet, DuckDB, or other analytical databases. Familiarity with LiteLLM or multi-LLM routing frameworks.
Working knowledge of Java and Unix/Linux environments. Experience with CI/CD and Agile/DevOps practices.