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Contract Python Data Analysis Jobs in Vancouver, BC

Autodesk

Principal Data Analyst

Vancouver, BC · On-site

Use AI coding and analysis tools to accelerate SQL/Python development, automate repeatable analytical work, prototype lightweight data applications or assistants, and create reusable workflows with ...

BDO Canada

Senior Data Quality Analyst

Vancouver, BC · On-site

CA$77K - CA$112K/yr

Proficiency in SQL and Python for data analysis and data testing. * Demonstrated experience with researching and understanding complex data models, especially related to master data management.

KPMG

Data Support Senior Consultant

Vancouver, BC · On-site

Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R, Alteryx, Microsoft PowerApps is preferred. * Knowledge of data extraction tools and utilities and ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Vancouver, BC

Contract Python Data Analysis information

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Vancouver, BC?

The most popular types of Python Data Analysis jobs in Vancouver, BC are:

What are popular job titles related to Contract Python Data Analysis jobs in Vancouver, BC?

For Contract Python Data Analysis jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Vancouver, BC look for?

The top searched job categories for Contract Python Data Analysis jobs in Vancouver, BC are:

Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Backend Engineer, .NET & Python

Burnaby, BC • On-site

PosiTrace
See more jobs at PosiTraceexternal

CA$110K - CA$145K/yr

Full-time

PTO

Re-posted 4 days ago

Job description

PosiTrace builds a real-time GPS fleet tracking SaaS platform -- vehicle location, telemetry processing, reporting, dispatching, and fleet management tools for SMB and enterprise customers across Canada and Mexico. Our backend processes millions of GPS data points daily across multiple receiver protocols.

We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution.

This is a full-time, on-site position at our Burnaby, BC headquarters. Not available for remote or hybrid.


What You'll Do

  • Build and maintain backend services in .NET 8 / C# and Python (FastAPI, Dramatiq workers, Dask data pipelines)
  • Design microservice boundaries, API contracts, and data flows as we decompose a monolithic Rails application into independent services
  • Work directly on core platform systems: GPS telemetry ingestion, history processing, reporting engine, dispatching services, billing and subscription management
  • Write and review production-grade, test-driven code; enforce quality through code reviews across .NET and Python codebases
  • Design and optimize MySQL queries and schemas for high-volume transactional workloads (10M+ row tables, complex joins across billing/device/contract hierarchies)
  • Build and consume RESTful APIs; design webhook delivery systems and event-driven integrations
  • Deploy to production via BitBucket Pipelines, Docker, and Kubernetes (GKE) with zero-downtime rolling updates
  • Produce architecture documentation: system diagrams, data flow diagrams, ADRs in Confluence
  • Manage async job processing with RabbitMQ and Dramatiq/Delayed Job workers
  • Operate within Google Cloud Platform: GKE, Cloud SQL, Cloud Storage, Secret Manager, BigQuery
  • Collaborate with the Rails team, DevOps, and QA; work with the Engineering Team Lead and VP of Engineering on technical direction
  • Estimate tasks, communicate blockers, and participate in sprint planning using Jira and GitFlow branching


What You Bring

  • Production experience with .NET 8 / C# -- building, testing, and deploying backend services
  • Production experience with Python -- FastAPI or Flask, async task processing, data manipulation (Pandas, Dask)
  • Strong MySQL skills: query optimization, indexing strategies, schema design for high-load systems
  • Experience with at least one of: PostgreSQL, Elasticsearch, MongoDB, BigQuery
  • Hands-on Docker + Kubernetes (GKE preferred): writing Dockerfiles, managing deployments, debugging pod issues, reading container logs
  • Experience with RabbitMQ or similar message brokers and async job queues
  • Track record of designing and implementing microservices -- service decomposition, inter-service communication, API versioning, backward compatibility
  • Familiarity with Redis for caching and session management
  • Experience with Git/GitFlow branching workflow and BitBucket or similar platforms
  • Ability to write clear technical documentation and communicate tradeoffs to both engineers and non-technical stakeholders
  • Strong written and spoken English


What Sets You Apart

  • Experience with Ruby on Rails; understanding Rails conventions and ActiveRecord is critical for designing migration paths
  • Experience with Go
  • MongoDB experience
  • Experience with Elixir
  • Background in IoT / telematics: GPS device protocols, high-throughput telemetry ingestion, real-time data pipelines
  • Experience with AI/ML integration: MCP servers, LLM API orchestration
  • WebSocket experience for real-time data delivery
  • Experience with Angular frontend; helpful for full-stack debugging
  • SOC2 compliance experience
  • Monitoring and observability: Zabbix, GrayLog, GCP Cloud Monitoring
  • API documentation practices (Swagger/OpenAPI)


What We Offer

  • On-site, full-time at our Burnaby headquarters -- no remote, no hybrid
  • Salary: CA$110,000 -- CA$145,000/year based on experience
  • Direct architectural impact on a multi-service SaaS platform processing real-time GPS data at scale
  • State-of-the-art hardware, JetBrains licenses (Rider, PyCharm, RubyMine)
  • Paid vacation, holidays, and sick days
  • Benefits program
  • Architect-track career progression
  • Work across the full stack: .NET microservices, Python data pipelines, Rails, GKE infrastructure
  • Individualized development plan and continuous learning opportunities


We welcome all qualified applicants, prioritizing skill and character. Let's talk.

Apply