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Data Cleaning Jobs in Alberta (NOW HIRING)

Develop comprehensive data cleaning strategies and prepare robust training datasets for model development. Research and Development * Analyze user challenges and workflows to deeply integrate into ...

Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively * Collaboration: Work closely with cross-functional ...

Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively * Collaboration: Work closely with cross-functional ...

Determine appropriate joins, transformations, and cleaning steps required to prepare raw data for analytics use cases Qualifications: * Strong working knowledge of Databricks, or other data lake ...

Program Administrator

Calgary, AB · On-site

$50K - $58K/yr

Intermediate Microsoft Excel skills, including formulas, lookups, PivotTables, data cleaning, and reporting. * Strong Microsoft Office, organizational, analytical, communication, and problem-solving ...

Data Specialist Why YOU want this position At Enverus, we're committed to empowering the global ... with clean, affordable energy. The energy industry is changing fast. But we've continued to lead ...

Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets. * Build reliable transformation workflows that support analytics, reporting ...

Evaluation and Data Analyst

Edmonton, AB · On-site

CA$34.99 - CA$45.74/hr

Collect, clean, analyze and maintain data to ensure quality and integrity. * Use spreadsheets, databases and programming languages such as R to integrate and automate data processes. * Respond to ad ...

We collect data where automation is not possible. We count features, take pictures, make videos ... Maintains a clean background check (criminal and driving record). * Has at least 5 years of driving ...

As an Analyst, Data & Integrations, you'll play a key role in ensuring project data is accurate ... cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ...

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Yard Cleaning Technician

Calgary, AB · On-site

CA$22 - CA$40/hr

Poo Crew ® is hiring technicians to clean yards. Do you enjoy working outside, love dogs ... Any smartphone with 10gbs of data or more * Physically fit * Ready to work in any weather and ...

Data Specialist

Calgary, AB · On-site

CA$60K/yr

Maintain clean, consistent, and well-organized data structures across all systems * Provide troubleshooting support and basic training to staff using these systems * Create and maintain simple ...

Data Specialist

Calgary, AB · On-site

CA$60K/yr

Maintain clean, consistent, and well-organized data structures across all systems * Provide troubleshooting support and basic training to staff using these systems * Create and maintain simple ...

Disassemble, clean, inspect, measure, and rebuild engines and sub-assemblies in strict accordance with OEM manufacturer specifications and Upstream Data quality standards. * Safely operate pneumatic ...

As a member of the BGIS Sustainable Cleaning Solutions Team, you will be generally responsible for ... in the management of data centers and other critical environments. At BGIS we believe that ...

You will guide data partners through the onboarding process, clean and transform incoming data into Spatial Cloud-compatible structures, build and improve validation workflows, and work directly with ...

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Data Cleaning information

See Alberta salary details

$9

$41

$91

How much do data cleaning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data cleaning in Alberta is $41.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $66.35 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Alberta?

The most popular types of Data Cleaning jobs in Alberta are:

What are popular job titles related to Data Cleaning jobs in Alberta?

For Data Cleaning jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Alberta look for?

The top searched job categories for Data Cleaning jobs in Alberta are:

Infographic showing various Data Cleaning job openings in Alberta as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,305 per year, or $41.5 per hour.

Senior Data Scientist

Seequent

Calgary, AB • Hybrid

Full-time

Posted 5 days ago


Job description

About the role 

You will be part of Seequent Labs, a research, prototyping, and data science team with a culture of experimentation and customer engagement. As a Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning and data though novel and creative applications in subsurface modelling. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning.

In this role, you will have the opportunity to: 

Technical Skills and Problem-Solving

  • Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs).
  • Develop and optimize AI/ML algorithms using accepted best practices, rigorously assessing model performance and resilience.
  • Deliver high-quality, user-friendly prototypes and integrated algorithms that directly address customer needs and workflows.

Data Management

  • Lead data acquisition efforts from various sources while rigorously analyzing data integrity and quality.
  • Develop comprehensive data cleaning strategies and prepare robust training datasets for model development.

Research and Development

  • Analyze user challenges and workflows to deeply integrate into all aspects of designing, maintaining, and deploying innovative ML applications.
  • Maintain a technological watch over the AI/ML landscape, staying up-to-date with relevant scientific literature and research.

Communication and Collaboration

  • Prepare and present compelling reports on results to peers, internal stakeholders, and end-users.
  • Collaborate and share knowledge to actively grow the AI team's capabilities and find efficient, intuitive ways to communicate complex data.

Professional Growth and Contribution

  • Expand the organization's overall capability in the AI space while actively learning workflows in subsurface modeling (geomodeling, geophysics, geostatistics).

To be successful in this role, you should have: 

  • BSc, MSc, or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science.
  • 7+ years of experience research and development in machine learning - including deep learning and advanced techniques.
  • Experience using large language models.
  • Experience with LangChain and LangGraph.
  • Experience with complex orchestration of agentic solutions.
  • Experience with AI models for solving problems related to imagery, GIS and or 3D data e.g. point cloud and meshes is preferred.
  • Commercial software development experience is preferred.
  • Experience working with cloud-based data solutions.
  • Programming and use of tools related to our area of practice such as: Python, PyTorch.
  • Experience using modern data plotting libraries (D3, plotly).

The ideal candidate will also possess the following qualities:

  • Outstanding interpersonal skills to cultivate and sustain strong, collaborative partnerships across teams.
  • Proven ability to rapidly deep-dive into unfamiliar topics, synthesize information, and master new concepts with speed.
  • A persistent, solution-oriented mindset with a genuine enthusiasm for tackling complex problems and continuous learning.

Additional Information

This is a hybrid position, and you are required to be in the Calgary office two days a week.

Seequent is a global company, and flexibility in working hours may be required to accommodate work across different time zones.

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