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Data Engineer at Murphy Oil

Data Engineer

Murphy Oil Houston, TX Full-Time

At Murphy Oil Corporation, we believe the rich experiences and backgrounds of our employees strengthen our Company, create a productive workforce, and drive our success. We encourage you to apply for the positions for which you meet the qualifications.

Job Summary

The Murphy US Onshore Operations is looking for a Data Engineer to support various teams i.e.: drilling, completions, and production to gain insights from analyzing data from external and internal datasets. The Data Engineer will be a problem solver who can analyze data, identify problems, develop, and improve workflows, automate processes, and lead the business units to make data driven decisions. The right candidate would be passionate about finding solutions hidden in large datasets and working with stakeholders to improve business results.

The Data Engineer will work in our Houston Corporate office and may work two (2) days a week remote.


  • Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
  • Identify and use appropriate technologies and platform to execute analytics against business requirements, including the ability to scale, deploy and distribute models across enterprise as needed
  • Support the development of business cases for new solutions, with in-depth analysis of the challenge being addressed, the cost of the solution and projected business impact
  • Support the development of performance management scorecards and dashboards to monitor adoption, implementation and impact of price and cost strategies
  • Collaborate with cross-functional teams to frame requirements within an analytics context to tackle business goals
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design


  • Bachelors’ Degree in a quantitative field such as Computer Science, Statistics, Mathematics, engineering, or another quantitative field
  • Minimum 3 years of professional industry experience in performing ETL jobs and data analysis.
  • Strong proficiency with SQL & Python
  • Good data visualization background with experience in PowerBI / Spotfire

Desired/Preferred Qualifications

  • Familiarity with Procount, Enersight, Aries and ValNav backend database would be a plus
  • Experience in developing web applications using php / JavaScript or no-code solutions like PowerApps and PowerAutomate would be a plus


We believe in providing energy that empowers people.


We challenge the norm, tap into our strong legacy and use our foresight and financial discipline to deliver inspired energy solutions.


We see a future where we are an industry leader who is positively impacting lives for the next 100 years and beyond.


Do Right Always

  • Respect people, safety, environment and the law
  • Follow through on commitments
  • Make it better

Think Beyond Possible

  • Offer solution
  • Step up and lead
  • Don’t settle for “good enough”
  • Embrace new opportunities

Stay With It

  • Show resilience
  • Lean into challenges
  • Support each other
  • Consider the implications


Murphy Oil Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program. Please read the [ Link removed ] / [ Link removed ] and [ Link removed ] before proceeding with your job application.

For additional information, you may also visit the 1000004718190.

Murphy Oil Corporation is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, genetic information, age, national origin, sexual orientation, disability, protected veteran status or any other category protected by federal, state or local law.
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Recommended Skills

  • Automation
  • Backend
  • Big Data
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  • Dashboard
  • Data Analysis
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