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Python Sql Jobs in Alberta (NOW HIRING)

Fleetworthy

Software Engineer

Edmonton, AB

Strong proficiency with Python and modern JavaScript/TypeScript * Experience with REST APIs * Proficient in SQL, PostgreSQL, including schema design and query optimization * Strong debugging and ...

Benevity

Senior Staff Developer, DevOps

Calgary, AB · On-site

Extensive expertise in Java, SpringBoot, Python, Vue.js, Docker, and Jenkins * Demonstrated ... Advanced database design across SQL and NoSQL databases * Expertise in developing APIs (OpenAPI ...

Worthland

Lead Risk Manager, Payment Fraud

Calgary, AB · Hybrid

$150K - $180K/yr

This is a builder role for a Risk Leader with hacker instincts and raw analytical horsepower -- someone who can reverse-engineer fraud loops, write production-grade SQL and Python, and deploy ML ...

Worthland

Lead Risk Manager, Payment Fraud

Calgary, AB · Hybrid

$150K - $180K/yr

This is a builder role for a Risk Leader with hacker instincts and raw analytical horsepower -- someone who can reverse-engineer fraud loops, write production-grade SQL and Python, and deploy ML ...

Targeted Talent

Junior Data Engineer

Calgary, AB

Strong Experience working with SQL and large data sets * Hands-on experience coding in Python would be a strong asset * Experience working with Business Intelligence and Data Warehousing * Experience ...

Targeted Talent

Junior Data Engineer

Edmonton, AB

Strong Experience working with SQL and large data sets * Hands-on experience coding in Python would be a strong asset * Experience working with Business Intelligence and Data Warehousing * Experience ...

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$42K

$130.3K

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How much do python sql jobs pay per year?

As of May 30, 2026, the average yearly pay for python sql in Alberta is $130,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.
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Python Sql jobs near you
Infographic showing various Python Sql job openings in Alberta as of May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution, with an average salary of $130,315 per year, or $62.7 per hour.

Software Development- Metadata Platform

TELUS

Calgary, AB

Other

Posted 18 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 76 rated telecommunications companies

Job description

Join our team and what we'll accomplish together

The Data Engineering and Metadata Management team is on a continuous journey toward helping TELUS become a world-class leader in data solutions by ensuring the delivery of robust data products, high-quality data, and comprehensive metadata solutions built upon unified, scalable platforms and advanced AI tooling.


We are searching for a talented candidate to fill the position of Data Engineering Developer within our Metadata Management and Data Quality team. The successful candidate will be responsible for developing metadata products and implementing integrations using TELUS established standards and best practices. As a key technical team member in our cloud-first organization, you will leverage your expertise to develop metadata products including the integration to upstream and downstream systems. This role combines advanced technical proficiency in metadata management, data engineering (SQL, Python), Collibra's Data Intelligence Platform and cloud architecture with hands-on development experience in Java, APIs, Groovy and GCP tools.

What you will do
  • Develop and support a variety of integrations, custom and out of the box connectors to ensure reliable and consistent processing to our Metadata Inventory platform
  • Develop and support process workflows to ensure technical and business process automation
  • Develop reporting and monitoring solutions to ensure platform health
  • Administer and configure Collibra Data Intelligence Platform
  • Assess various technical solution options related to metadata capabilities and recommend the best approach balancing constraints and future needs
  • Monitor, identify and resolve metadata platform and integrations issues impacting platform availability and usability
  • Identify and implement automation opportunities in development and production processes to reduce manual effort
What you bring
  • 3+ years delivering IT platform implementations in technical roles
  • Hold bachelor of Computer Science, Software Engineering or equivalent
  • You are sought out for your strong understanding of Metadata Management, Data Quality, Data Lineage, Data Management and Data Engineering.
  • You are respected for your knowledge of Solution Development and Data Management Lifecycles.
  • You are hands on in Windows Operating Systems, Unix, Linux and with GCP Kubernetes (GKE).
  • Advanced technical proficiency in metadata management, Collibra's Data Intelligence Platform
  • Experience developing microservices, RESTful APIs, and data processing services using Spring Boot or equivalent frameworks.
  • Strong SQL proficiency with experience writing complex queries, stored procedures, and working with relational databases
  • Strong Working knowledge of security architecture and cloud native development on GCP Cloud (Dataflow, Composer, Cloud Run, Cloud Scheduler, Dataproc, Workflow etc)
  • Experience with Dataplex / Knowledge Catalogue and other Data Governance & Metadata Platforms
  • Strong experience and knowledge for data engineering principles and best practices and the associated technologies with it
  • Proficiency with programming languages including Python, Java, and Groovy
  • Proficiency with GCP enterprise database technologies such as BigQuery and Cloud SQL (PostgreSQL or SQL Server)
  • Strong understanding of database technologies including Oracle, SQL Server, and MySQL
  • You communicate with clarity and confidence, collaborating across technical and business teams to align on goals and drive outcomes.

Great-to-haves

  • Working knowledge of DAMA International Framework 
  • Collibra Ranger certification
  • GCP Professional Data Engineering certification
  • Understanding of TMF standards
  • Knowledge of Azure, AWS, Databricks, Snowflake
  • PMP an asset 

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