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Junior Python Developer Jobs in Edmonton, AB (NOW HIRING)

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

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Junior Python Developer information

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How much do junior python developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for junior python developer in Edmonton, AB is $39.59, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $45.19 per hour, depending on experience, location, and employer.

What is a junior Python developer?

A Junior Python Developer is an entry-level software developer who specializes in writing, testing, and maintaining code using the Python programming language. They typically work under the guidance of senior developers and assist in building applications, fixing bugs, and improving performance. Their responsibilities may include writing scripts, working with databases, and integrating third-party services. Strong problem-solving skills, knowledge of Python frameworks like Django or Flask, and familiarity with version control systems like Git are often required. Junior developers are expected to learn quickly and contribute to the development team while gaining hands-on experience.

What are the typical daily responsibilities of a junior Python developer?

As a Junior Python Developer, your daily tasks may include writing and testing code, fixing bugs, and participating in code reviews alongside more experienced developers. You'll often work on modules or features under the guidance of senior team members, attend stand-up meetings, and update project documentation as needed. Collaboration with frontend developers, QA testers, and project managers is common, especially when integrating systems or implementing new features. Over time, you can expect to take on more complex tasks and gradually build your expertise through mentorship and hands-on project work.

What are the key skills and qualifications needed to thrive in the junior Python developer position?

To thrive as a Junior Python Developer, you need a solid foundation in Python programming, an understanding of computer science fundamentals, and often a relevant degree or coursework. Familiarity with version control systems like Git, basic experience with web frameworks such as Flask or Django, and knowledge of databases are commonly expected, while certifications like PCEP can be advantageous. Attention to detail, a willingness to learn, effective problem-solving, and strong communication skills are essential soft skills for this role. These competencies ensure you can contribute efficiently to software development projects, adapt to new challenges, and collaborate well within a development team.

Is there a demand for junior Python developers?

There is strong demand for junior Python developers across various industries, including web development, data analysis, and automation. Companies seek candidates with basic programming skills, knowledge of frameworks like Django or Flask, and familiarity with version control tools such as Git. Entry-level positions are available in both startups and established organizations, reflecting Python's popularity and versatility.

What does a junior Python developer do?

A junior Python developer writes, tests, and maintains Python code for software applications under supervision. They often work on tasks such as debugging, implementing features, and collaborating with team members using tools like version control systems. Basic knowledge of programming concepts and familiarity with frameworks like Django or Flask are typically required.

What are the most commonly searched types of Python Developer jobs in Edmonton, AB?

The most popular types of Python Developer jobs in Edmonton, AB are:

What are popular job titles related to Junior Python Developer jobs in Edmonton, AB?

For Junior Python Developer jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Junior Python Developer jobs in Edmonton, AB look for?

The top searched job categories for Junior Python Developer jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Junior Python Developer jobs?

Cities near Edmonton, AB with the most Junior Python Developer job openings:

Infographic showing various Junior Python Developer job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $82,340 per year, or $39.6 per hour.

Data Engineer - Senior (REMOTE) JP991

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Posted 8 days ago


Job description

Project Name:

Digital Regulatory Assurance System

Scope:

Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.

DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform

As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

The Data Product Analyst provides operational support and continuous improvement (CI) services for DRAS data products and platform solutions. The role focuses on ensuring the ongoing reliability, availability, and performance of DRAS data assets, integrations, reports, and analytics products.

Duties:

  • Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria
  • Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
  • Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
  • Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
  • Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases and downstream consumption.
  • Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
  • Design and expose secure data services and APIs using Azure API Management for downstream systems.
  • Implement data governance practices, including metadata management, data classification, and lineage tracking.
  • Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
  • Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
  • Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
  • Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
  • Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.
  • Other duties as needed