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Weekend Ai Data Engineer Jobs in Calgary, AB (NOW HIRING)

ShyftLabs

Data Engineer

Calgary, AB

Position Overview We are looking for an experienced and versatile Data Engineer to join our dynamic ... Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or ...

Finning

Data Engineer II

Calgary, AB · Hybrid

Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning ... Use AI-assisted tools responsibly to accelerate support activities such as log analysis, query ...

Royal Bank of Canada

Principal AI Engineer

Calgary, AB · On-site

This role requires strong data engineering skills and leadership, effective written and verbal ... Implement observability for AI systems, including tracing across prompts and tool calls, telemetry ...

KPMG

Manager, ML/AI Engineer, Data & AI

Calgary, AB

Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

... AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive ...

E Source

AI / ML Engineer

Calgary, AB · Remote

... AI / ML Engineer to help shape how that impact shows up in the world ... E Source is a research, data/analytics, and technology focused professional services firm focused ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

As Skip invests to become an AI-first business, the reliable cross-cloud pipelines, trusted consumption layer and engineering discipline that underpin it sit with the Data Engineering team. As Senior ...

BigGeo

Spatial AI Engineer

Calgary, AB

They know what their data says, but not where or when things actually happen. That gap costs real ... The RoleThe Spatial AI Engineer builds the systems that let AI models, applications, and ...

Clio

Senior Developer, Enterprise AI

Calgary, AB · Remote

CA$176K - CA$202K/yr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Partner with Data Engineering and Data Insights on data modeling, classification, and metadata ...

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All JobsAi Data Engineer JobsWeekend Ai Data Engineer JobsWeekend Ai Data Engineer Jobs in Calgary, AB

Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI research director or senior data scientist, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What engineer makes $500,000 a year?

Senior data engineers, especially those with expertise in AI, machine learning, and cloud platforms, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or specialized certifications.

Do data engineers work on weekends?

Data engineers, including those working as weekend AI data engineers, typically follow a standard workweek but may work on weekends if project deadlines, system maintenance, or urgent issues require it. Flexibility in scheduling can vary depending on the employer and specific job responsibilities, especially in roles involving real-time data processing or 24/7 systems. However, many data engineering roles are primarily Monday through Friday with occasional weekend work.

Which 3 jobs will survive AI?

For a Weekend AI Data Engineer, roles that require complex problem-solving, creativity, and human judgment are most likely to survive AI automation. These include jobs like data scientists, AI specialists, and cybersecurity analysts, which involve designing, managing, and securing AI systems. Skills in critical thinking, domain expertise, and adaptability will remain valuable in these fields.
What are the most commonly searched types of Ai Data Engineer jobs in Calgary, AB? The most popular types of Ai Data Engineer jobs in Calgary, AB are:
What are popular job titles related to Weekend Ai Data Engineer jobs in Calgary, AB? For Weekend Ai Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Engineer jobs in Calgary, AB look for? The top searched job categories for Weekend Ai Data Engineer jobs in Calgary, AB are:
Weekend Ai Data Engineer jobs near you

Data Engineer

ShyftLabs

Calgary, AB

Full-time

Medical, Dental, Vision

Re-posted 22 days ago

Job description

Position Overview

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. If you are passionate about data, solving complex problems, and working directly with enterprise stakeholders to translate business needs into scalable technical solutions, this role could be the perfect fit.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses across various industries by focusing on creating value through innovation.

In addition to strong technical expertise, we are seeking someone with strong business awareness and the ability to lead client and stakeholder communication. The ideal candidate will be comfortable collaborating with enterprise-level clients, translating complex technical concepts into business outcomes, and ensuring alignment between engineering execution and strategic objectives.

Job Responsibilities

  • Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

  • Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.

  • Develop and manage our central data warehouse in Google BigQuery.

  • Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability.

  • 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, and data science initiatives.

  • Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency.

  • Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views.

  • Build and maintain curated data models that serve as the "source of truth" for business intelligence and reporting.

  • Ensure data is optimized and readily accessible for BI tools such as Looker and other analytics platforms.

  • Implement automated data quality checks, validation rules, and monitoring frameworks to ensure the integrity and reliability of data pipelines and warehouse systems.

  • Establish processes for data governance, observability, and lineage tracking.

  • Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

  • Lead and support client and stakeholder communication, working with enterprise clients to translate business needs into scalable data solutions.

  • Partner with product teams and leadership to ensure that technical data solutions align with business strategy and client expectations.

  • Take ownership of data platforms and architecture decisions, helping shape the future direction of our analytics and data infrastructure.

  • Identify opportunities to improve data reliability, automate workflows, and generate new insights through data.

  • Contribute to a collaborative, high-performing engineering culture with strong communication and teamwork.

Basic Qualifications

  • 5+ years of hands-on experience in data engineering, data integration, or data platform development.

  • Degree in Computer Science, Engineering, Mathematics, or related STEM discipline.

  • Strong programming and query skills in SQL and Python.

  • Experience working with distributed version control systems such as Git in an Agile/Scrum environment.

  • Experience designing and orchestrating ETL pipelines, particularly with Databricks.

  • Experience working within cloud environments (GCP, AWS, or Azure).

  • Experience with database systems such as MongoDB and Elasticsearch.

  • Strong understanding of data warehousing and dimensional modeling methodologies.

  • Hands-on experience with Airflow and Hadoop.

  • Experience using Docker for containerized workflows and reproducible environments.

  • Ability to identify opportunities to improve data quality, reliability, and automation.

  • Strong business awareness and communication skills, with the ability to collaborate with both technical teams and business stakeholders.

  • Experience within the retail industry is a plus.

Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or related discipline.

  • Experience working with enterprise-scale data platforms and Fortune 500 clients.

  • Familiarity with Druid and its Python API, including Kafka integrations.

  • Strong experience using Apache Spark for large-scale data processing.

  • Experience designing real-time streaming data architectures.

  • Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or agentic AI workflows

Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Work Arrangement: This role is currently fully remote, providing flexibility to work from home. As the team and organization continue to grow, there may be an opportunity for the role to transition into a hybrid work model in the future, with occasional in-office collaboration.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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