Data Engineering Supervisor

Chord Energy • Houston, TX

90d

About The Position

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.

Requirements

• 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.
• Strong coaching, prioritization and stakeholder-management skills.
• 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.

Nice To Haves

• 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.

Responsibilities

• Lead a small team and participate in multi-disciplinary projects aimed at providing business solutions.
• 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.
• 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.
• Own and maintain the data science and AI stack including Azure Machine Learning, OpenAI/Azure AI Foundry, and Snowflake.
• Govern versioning, costs, access, and upgrades for the team.
• Spend ~50% of your time hands-on coding while mentoring engineers on best practices for data quality, testing and CI/CD.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees