Job Summary
The Senior Unconventional Analytics Engineer is responsible for building and managing data products that support forecasting, economics, planning, and operational workflows. The role focuses on ensuring business data is reliable, governed, automated, and readily available for analytics and decision-making. The engineer will collaborate with reservoir engineers, production engineers, planners, economists, and data professionals to develop scalable data pipelines, integrate multiple data sources, and deliver analytics-ready datasets that support business operations.
Key Responsibilities
• Design, develop, and maintain analytics-ready data products supporting forecasting, economics, planning, drilling, completions, and production workflows.
• Establish trusted datasets and business logic that serve as authoritative sources for key analytical processes.
• Partner with business stakeholders to prioritize data product enhancements and new capabilities.
• Develop scalable data pipelines and transformation processes within Databricks using SQL and Python.
• Integrate data from operational, corporate, and third-party sources into a unified analytical environment.
• Optimize data models and architectures to improve performance, usability, and scalability.
• Support and enhance data flows feeding ComboCurve forecasting and economic workflows.
• Develop and maintain curated datasets optimized for Spotfire dashboards and self-service analytics.
• Establish data quality standards, validation rules, and monitoring processes.
• Promote data accountability and continuous improvement.
Required Qualifications
• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related discipline.
• 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
• Advanced SQL skills and experience working with large, complex datasets.
• Python programming experience for data engineering and analytics applications.
• Hands-on experience developing solutions within Databricks.
• Experience designing and maintaining modern ELT/ETL pipelines.
• Experience developing analytics solutions using Spotfire.
• Understanding of data modeling, data architecture, and data product design principles.
• Strong problem-solving and analytical thinking capabilities.
• Ability to translate business challenges into scalable technical solutions.
• Strong communication and stakeholder management skills.
• Ability to influence and collaborate effectively across technical and business teams.
Preferred Qualifications
• Experience in the Oil & Gas industry, particularly with unconventional resources.
• Experience with ComboCurve forecasting and economic evaluation workflows.
• Understanding of reservoir engineering, asset planning, economics, and capital allocation.
• Familiarity with data governance and master data management practices.
• Experience developing enterprise-scale analytical data products.
