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Quantitative Data Engineer Jobs in Calgary, AB (NOW HIRING)

P2054 - Programmer Analyst II Salary range: $75,000 - $80,000 Placement within the range is ... The position also involves tracking and updating license data, monitoring usage patterns ...

Maintain data for respective mode within the region (freight rates, fuel surcharges, asset costs ... Business, Engineering, or a related discipline Required Work Experience: At least 5 years of ...

Civil Engineering. Required Work Experience: Minimum of 2-3 years of management/supervisory ... Maintain accurate, timely reporting to support data-driven decision-making. * Champion site ...

Transform data and spreadsheet-based outcomes into deliverable, management-level reporting for ... Engineering or Commerce. Required Work Experience: Minimum of 5 years of experience in a similar ...

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Quantitative Data Engineer information

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Calgary, AB? For Quantitative Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Calgary, AB look for? The top searched job categories for Quantitative Data Engineer jobs in Calgary, AB are:
Infographic showing various Quantitative Data Engineer job openings in Calgary, AB as of June 2026, with employment types broken down into 5% As Needed, 90% Full Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AltaGas - Specialist, Supply Fundamentals

Washington Gas Light Co.

Calgary, AB

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Washington Gas Light rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Description

AltaGas - Specialist, Supply Fundamentals

Reporting to the Director, Strategic Planning and Analysis, the Specialist will play a key role in developing AltaGas's in-house long-term outlook of liquids and gas supply in the Western Canadian Sedimentary Basin ("WCSB").


This role is responsible for building and owning supply forecasts; integrating data from multiple sources; generating insights that inform capital allocation, commercial decisions, and long-range planning; and collaborating with the Commercial and Business Development teams to ensure that analyses and outputs support their building plans, priorities and actions. The successful candidate will combine strong analytical capabilities with a deep understanding of energy markets to translate complex data into clear, decision-ready insights which will directly influence the company's growth.

You will:

  • Build and maintain a long-term WCSB supply forecast model for liquids and gas
  • Develop bottom-up WCSB oil and gas production forecast models incorporating upstream activity, well breakeven prices, reservoir life, and basin dynamics
  • Create and maintain proprietary delineations and well type curves for the key WCSB resource plays
  • Aggregate and reconcile data across multiple sources, including internal and third-party datasets, to develop a "single source of truth" for supply
  • Develop multiple supply scenarios to assess the impact of upstream development plans, infrastructure buildout, and commodity pricing signals
  • Gather market intelligence on planned upstream oil and gas drilling activities through reviewing company press releases and presentations
  • Stay informed on technological advancements in resource extraction techniques and industry regulatory changes to help guide forecasting assumptions
  • Maintain databases and tools that underpin ongoing forecasting and strategic work
  • Partner with the Commercial and Business Development teams to align forecasts with real-world insights and to support growth opportunities
  • Support executive decision-making on capital allocation and long-range planning by developing clear and compelling materials to communicate forecasts and insights
  • Work on other related forecasting and analytical deliverables as they arise in the normal course of business

You have:

  • 10+ years of experience in upstream, midstream, energy, or related analytical roles (e.g., strategy, planning, commercial, research, or consulting)
  • Strong understanding of the WCSB and North American oil and gas industry
  • Familiarity with key industry data sources (e.g., AER, BCER, Petrinex, CER, and third-party forecasters such as Wood Mackenzie)
  • Advanced Excel skills with demonstrated experience building complex, bottom-up models (production, supply-demand balances, or financial models)
  • Strong organizational skills with the ability to own and manage multiple priorities in a fast-paced environment
  • Strong quantitative and critical thinking skills with the ability to identify inconsistencies, investigate root causes, and develop solutions
  • Strong written and verbal communication skills, with the ability to present complex topics clearly and concisely
  • Proven ability to work cross-functionally and at building strong relationships
  • Bachelor's degree in Engineering, Finance, Economics, or a related field
  • P.Eng., CFA, MBA, or other relevant advanced designation is considered an asset
  • Experience using geoSCOUT or EVA is considered an asset

Why AltaGas?

AltaGas offers a unique opportunity to be part of a company where market intelligence and strategic planning directly influence growth decisions. I'm excited by the chance to leverage data, forecasting, and industry insights to support long-term planning and capital allocation, while working alongside teams that are shaping the future of the Western Canadian energy sector.

#LI- KG1

For Canadian hires: AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law.

For U.S. hires: WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role.

U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.


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