What are the responsibilities and job description for the Data Engineering Supervisor position at Chord Energy and Careers?
Job Title: Data Engineering Supervisor
Position Summary
The Chord Energy Data Engineering Supervisor is a working manager, that will lead a small team of data and analytics engineers to deliver automated data flows, business processes, reliable pipelines and BI products that power decision making at Chord. The team is 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 leading a small team and 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. This position will build and maintain enterprise-grade ELT/ETL pipelines and integrations that move data from source systems, APIs and external partners into Snowflake and other platforms to support data science, AI, automation, and BI workflows. The data engineering supervisor will design and deliver automations (Python and SQL) that reduce manual effort and keep data products fresh and accurate. Oversee the team’s BI workload by curating datasets and publishing Power BI, Sigma, and Spotfire dashboards that turn raw data into actionable insights. Own and maintain the data science and AI stack including Azure Machine Learning, OpenAI/Azure AI Foundry, and Snowflake. Goveren versioning, costs, access, and upgrades for the team. This position is a Working manager: spend ~50% of your time hands-on coding while mentoring engineers on best practices for data quality, testing and CI/CD.
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
- Bachelor’s degree in Computer Science, Data Engineering or related field
- 10 years in data engineering, including designing and operating cloud data pipelines; 2 years in a technical-lead or supervisory role preferred.
- Proven expertise with modern data-engineering tools: Python/SQL, Snowflake or Databricks, orchestration frameworks (Airflow, ADF), and API-based integrations.
- Working knowledge of BI platforms (Power BI, Spotfire, Sigma) and the practices that make dashboards performant and trustworthy including back-end architecture in Fabric.
- Strong coaching, prioritization and stakeholder-management skills; able to translate business objectives into technical backlogs and deliverables.
- Strong interpersonal and collaborative skills
- Demonstrated ability to work in a team-oriented environment
- Excellent presentation skills
- Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company
- Ability to meet deadlines
- 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
- Master’s degree or PHD or certification in Data Science or Data Analytics
- Familiarity with additional programming languages (SQL, R, C , etc.)
- Previous Oil and Gas operator experience
- Exposure to Petroleum Engineering and Geoscience workflows
- Exposure to the energy sector, particularly unconventional exploitation programs
This role presents an exciting opportunity for a Data Engineering Supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.
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.