Python & SQL Developer - Operate
Deloitte View all jobs
- Toronto, ON
- $72,000-138,000 per year
- Temporary
- Full-time
Work Model: Hybrid
Reference code: 132703
Primary Location: Toronto, ON
All Available Locations: Toronto, ONOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm.
- Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
- Learn from deep subject matter experts through mentoring and on the job coaching
- Design, develop, test, and debug backend services and APIs using Python and FastAPI, ensuring high performance, reliability, and maintainability
- Build server‑side logic, integrate RESTful services, and support microservice‑based architectures aligned with enterprise standards
- Work extensively with SQL‑based data sources, writing, optimizing, and maintaining complex queries, views, and stored procedures to support application logic, reporting, and data enrichment
- Develop scripts and services for data extraction, transformation, processing, and system automation, integrating both relational (SQL) and NoSQL (MongoDB) databases
- Contribute to solution and application architecture, including system design, integration patterns, data flows, and scalability considerations
- Collaborate with architects and senior engineers to ensure solutions are secure, well‑designed, and production‑ready
- Support GenAI‑enabled features where applicable, such as prompt design, retrieval from structured data, and vectorized search, without being focused on model development
- Partner closely with cross‑functional teams and stakeholders, applying strong people and communication skills to translate requirements, explain technical concepts, and support delivery from design through production
- Strong proficiency in Python (3.x) for backend and data‑driven application development
- Hands‑on experience with FastAPI for building scalable, production‑grade APIs
- Strong experience with SQL, including writing and optimizing complex queries, joins, CTEs, views, and stored procedures
- Backend development experience building server‑side logic, RESTful APIs, and microservices
- Experience working with relational databases and NoSQL databases (e.g., MongoDB)
- Experience developing scripts for data extraction, processing, and automation
- Exposure to GenAI‑enabled application features, including:
- Prompt engineering
- Retrieval patterns using structured data
- Experience with vectorization, embeddings, or RAG‑style data retrieval
- Familiarity with modern data platforms, analytics pipelines, or AI‑assisted features
- Understanding of performance tuning, scalability, and operational support in production environments