Research Engineer / Developer

Reposted 5 Days Ago
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Calgary, AB
In-Office
Junior
Information Technology • Analytics
The Role
The role involves developing data features in the oil and gas industry, utilizing engineering principles and data science skills, while collaborating with various teams to create tailored data products.
Summary Generated by Built In

Why Turing Analytics?  

At Turing Analytics Inc., our Calgary-based team brings decades of experience in energy analytics and SaaS development. We’re looking for driven, curious problem-solvers who thrive in fast-paced, collaborative environments. Our culture is built on delivery and impact — we’re always focused on creating real value for our users.

If that sounds like the kind of team you want to grow with, explore the details below and apply today!

Research Engineer / Developer

We are looking for engineers, developers, and analysts to join our Research group. The ideal candidate has experience in upstream oil and gas or data science, with a strong preference for those with strength in both categories. Our team is working on productizing a number of challenging oil and gas data/software projects, including geospatial and geological models, production and supply forecasting, enhanced oil recovery schemes, midstream analysis, and many more.

 

Primary Duties and Responsibilities

  • Make a Difference: Contribute to kick ass development in our rapidly expanding data offerings.
  • Apply Domain Knowledge: Use your upstream or midstream oil and gas experience, coupled with data engineering principles, to create informative new data features and improve processes.
  • Feature Engineering and Data Ownership: Maintain data quality, reliability, and most importantly, utility.
  • Communicate: Help us connect domain experts, software developers, and our clients via code to create data products that are tailored for end users.
  • Adapt: Thrive in a rapidly growing and dynamic environment.
  • Collaborate: Follow technical direction from development leaders.

Minimum Skills & Qualifications

  • Bachelor’s Degree in a relevant field.
  • Located in Calgary, AB. 
  • 1+ year of professional reservoir, development, facility, or data experience in an engineering (or similar) capacity.
  • Programming experience: Python, MATLAB, or R. Github is a plus.
  • Strong collaboration skills with experience working with Engineering, Data, Product, Design, and Business functions.
  • Experience working with SQL based query language: MySQL, Oracle, or PostgresSQL
  • Advanced critical thinking and problem-solving abilities.
  • Ability to work effectively both as part of a team and independently.
  • Effective communication skills with business unit stakeholders of varying technical ability.

Preferred Skills & Qualifications:

  • Experience with Python including Pandas, NumPy, and Document Databases (preferably MongoDB).
  • Experience in Data Engineering with design pattern thinking.
  • The perfect candidate has expertise at the intersection of oil and gas engineering, technical analysis, and data engineering.

Top Skills

Git
Matlab
MongoDB
Numpy
Pandas
Python
R
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The Company
HQ: Calgary, Alberta
31 Employees
Year Founded: 2021

What We Do

EVA is a next-generation analytics platform powered by McDaniel Research and tailored specifically for oil and gas to quickly derive insights that matter to energy operators, investors and advisors.

EVA Offers:

- Blazing Speed on our proprietary cloud-based platform
- Data quality control and derivative insights by McDaniel Research
- Pre-built engineered features specifically for oil and gas
- Immediate access to 1000's of hours of research and interpretation
- Detailed 3D Geology Structures and Geo Models of major resource plays
- Proprietary well density and pad geometry analytics
- Built-in tools to make generating impactful presentations fast and easy

With EVA you can:

INVESTIGATE
total play performance, decline rates, operator activity, trends in well and completion design.

ANALYSE
relative well performance as a function of numerous variables and pre-engineered features including: operator, vintage, well length, stage count, well density, pad geometry and parent/child.

LEVERAGE
proprietary McDaniel Research maturity mapping & machine learning to model sales gas and sales condensate for all wells that publicly report re-combined gas (Montney, Duvernay).

NORMALIZE
well performance for horizontal length, stage count, proppant placed and many more.

PRESENT
your stakeholder with insights uncovered with easy-to-use impactful visualizations of charts, 3D Geology Structures and maps and export them in user-defined sizes and aspect ratios.

VISUALIZE
well placement and pad geometry within the context of local geology by leveraging detailed 3D Geology Structures and Geo Models provided by McDaniel Research.

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