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Full Time Python Data Analysis Jobs in Surrey, BC

PosiTrace

Senior Backend Engineer, .NET & Python

Burnaby, BC · On-site

CA$110K - CA$145K/yr

Our backend processes millions of GPS data points daily across multiple receiver protocols. We're ... This is a full-time, on-site position at our Burnaby, BC headquarters. Not available for remote or ...

Alquemy

Senior Data Analyst

Vancouver, BC · On-site

$60 - $70/hr

... analysis or business intelligence, ideally within a product-centric company. Technical Stack: SQL & Python: Advanced proficiency in SQL and intermediate skills in Python for data manipulation.

BDO Canada

Senior Data Quality Analyst

Vancouver, BC

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.

Kabam

Data Analyst

Vancouver, BC · On-site

This role is a full-time, on-site position based 5 days a week at our Downtown Vancouver studio. In ... Data Exploration and Analysis: * Use SQL to extract and manipulate data from various sources.

Remitly

Manager, Data Analytics

Burnaby, BC

CA$120K - CA$150K/yr

You Have: * 5+ years of experience in a data analyst role or similar full-time professional ... Strong SQL proficiency; working knowledge of Python or R for data analysis. * Expertise with ...

Remitly

Senior Data Analyst, Compliance

Burnaby, BC

CA$120K - CA$150K/yr

Expert in SQL, Python or R for data exploration, validation and analysis; Working experience with DBT or Git or similar. * BI Tools: Mastery of visualization and report / dashboard building, and ...

Later

Data/Analytics Co-op

Vancouver, BC

CA$4.0K/mo

You'll contribute to real projects using technologies such as SQL, dbt, BigQuery, Python, and ... analysis. * By the end of your co-op: You've shipped meaningful improvements to our analytics ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Surrey, BC

Full Time Python Data Analysis information

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a full time python data analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

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

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

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Surrey, BC as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Backend Engineer, .NET & Python

PosiTrace

Burnaby, BC • On-site

CA$110K - CA$145K/yr

Full-time

PTO

Re-posted 8 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.

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