AI Engineer - Data Analytics & Visualization (Oil and Gas experience)

Job Description

AI Engineer – Data Analytics & Visualization

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Location: Denver, CO | 100% Onsite

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Employment Type: Full-Time, Direct Hire

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Base Salary: $140,000–$170,000 annually + Bonus & Benefits

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Industry: Upstream Oil & Gas / Energy

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About the Opportunity

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Red Oak Technologies is seeking an experienced AI Engineer – Data Analytics & Visualization for a direct-hire opportunity with an established investment firm specializing in the energy sector.

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This role combines upstream oil and gas industry knowledge, data visualization, business intelligence, and AI-powered analytics to support operational and strategic decision-making.

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The ideal candidate will work directly with drilling, reservoir, engineering, and operations teams to understand business challenges and translate requirements into meaningful dashboards, reports, data models, and AI-enabled analytics solutions.

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This is a hands-on, business-facing technical role requiring strong communication skills, industry knowledge, and experience delivering practical data-driven solutions.

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Key Responsibilities

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• Collaborate with upstream oil and gas leadership, drilling, reservoir, and operations teams to understand business requirements and identify opportunities for AI and analytics solutions.
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• Design, develop, and maintain dashboards, reports, and data visualizations using Power BI, Spotfire, or similar BI platforms .
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• Translate complex operational data into actionable insights that support business decisions.
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• Develop AI-powered analytics tools, intelligent workflows, automated reporting, and data-driven solutions.
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• Build and optimize analytics-ready data models using Databricks, Snowflake, or comparable cloud data platforms .
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• Work with structured and unstructured data to support scalable AI and business intelligence applications.
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• Perform data quality checks, troubleshoot data pipelines, and ensure the accuracy and reliability of analytics outputs.
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• Partner with data engineering and technical teams to improve data accessibility, integration, and performance.
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• Research emerging AI technologies and recommend opportunities to improve business processes and operational efficiency.
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• Document technical processes and communicate findings to technical and nontechnical stakeholders.
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Required Qualifications

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• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
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• 5+ years of experience in data analytics, business intelligence, data engineering, digital transformation, or a related technical field.
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• Upstream oil and gas industry experience is required , including familiarity with drilling, reservoir, production, or related operations.
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• Hands-on experience building dashboards, data visualizations, reports, and business intelligence solutions .
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• Proficiency with Power BI, Spotfire, or comparable visualization platforms .
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• Experience with Databricks, Snowflake, Google Cloud data platforms, or similar cloud data warehouse technologies .
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• Strong understanding of data modeling, data pipelines, data orchestration, and modern data architecture.
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• Demonstrated ability to work directly with business stakeholders, gather requirements, and translate operational needs into technical solutions.
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• Strong analytical, problem-solving, communication, and collaboration skills.
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Preferred Qualifications

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• Hands-on experience using Generative AI tools such as ChatGPT, Claude, or similar foundational models to improve analytics and business workflows.
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• Familiarity with Large Language Models (LLMs), LangChain, Model Context Protocol (MCP), and AI agent frameworks .
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• Experience developing AI-powered dashboards, intelligent assistants, or automated analytics workflows.
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• Background in petroleum engineering, reservoir engineering, drilling engineering, or upstream oil and gas operations.
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• Direct experience with Databricks and its data engineering and analytics capabilities.
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• Experience presenting analytics solutions to senior leadership and operational stakeholders.
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Compensation & Work Location

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• Base Salary: $140,000–$170,000 annually
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• Additional Compensation: Discretionary bonus and benefits
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• Location: Denver, Colorado
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• Work Arrangement: 100% Onsite — No Remote or Hybrid
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• Employment Type: Full-Time, Direct Hire
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• Candidates willing to relocate to Denver at their own expense may be considered.
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About Red Oak Technologies

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Since 1995, Red Oak Technologies has been a trusted partner in the technology industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent, or project-based resources.

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Interested candidates with upstream oil and gas experience and strong data analytics, visualization, and AI skills are encouraged to apply.