Chord Energy
Data Engineer
Chord Energy, Houston, Texas, United States, 77246
The Chord Energy Data Engineer role is a technical individual contributor role, focused on supporting data infrastructure to enable data analytics and machine learning. This role involves designing and building data pipelines, ensuring data quality, and facilitating data accessibility for data scientists and other business operations stakeholders. This role presents an exciting opportunity for a seasoned data engineer to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. This position is located in downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience.
Essential Job Functions:
The primary responsibility involves participating in multi-disciplinary projects aimed at providing business solutions to diverse problem sets ranging from, but not limited to, production automation / optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Engineer will contribute to the adoption of new technologies and best practices for data pipelines and interface with the IT Department to bring new data pipelines into the broader data architecture. The ability to be highly collaborative and in support of core business functions will be critical to the success of this role.
This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor.
Minimum Qualifications:
Master's or Bachelor's degree in Data Science, Computer Science, or related field
Five (5) to Ten (10) years of relevant experience in Data Engineering
Proficiency in SQL, Python and other data engineering tools
Experience with big data architectures (e.g. Spark, Azure, Snowflake)
Demonstrated success communicating and collaborating cross functionally
Proven ability to work in a team-oriented environment
Strong problem solving skills
Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Preferred Qualifications:
Exposure to the energy industry
Previous Oil and Gas operator experience
Familiarity with additional programming languages (Hadoop, Julia, R, C++, etc.)
Exposure to Petroleum Engineering, Machine Learning, and Data Science concepts
EEO Statement:
Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.#J-18808-Ljbffr
Essential Job Functions:
The primary responsibility involves participating in multi-disciplinary projects aimed at providing business solutions to diverse problem sets ranging from, but not limited to, production automation / optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Engineer will contribute to the adoption of new technologies and best practices for data pipelines and interface with the IT Department to bring new data pipelines into the broader data architecture. The ability to be highly collaborative and in support of core business functions will be critical to the success of this role.
This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor.
Minimum Qualifications:
Master's or Bachelor's degree in Data Science, Computer Science, or related field
Five (5) to Ten (10) years of relevant experience in Data Engineering
Proficiency in SQL, Python and other data engineering tools
Experience with big data architectures (e.g. Spark, Azure, Snowflake)
Demonstrated success communicating and collaborating cross functionally
Proven ability to work in a team-oriented environment
Strong problem solving skills
Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Preferred Qualifications:
Exposure to the energy industry
Previous Oil and Gas operator experience
Familiarity with additional programming languages (Hadoop, Julia, R, C++, etc.)
Exposure to Petroleum Engineering, Machine Learning, and Data Science concepts
EEO Statement:
Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.#J-18808-Ljbffr