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AI Engineer – Data Analytics & Visualization; Oil and Gas

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Red Oak Technologies Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer – Data Analytics & Visualization (Oil and Gas experience)

Employment Type: Full-Time, Direct Hire

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

About the Opportunity

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.

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

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.

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

Key Responsibilities
  • Collaborate with upstream oil and gas leadership, drilling, reservoir, and operations teams to understand business requirements and identify opportunities for AI and analytics solutions.
  • Design, develop, and maintain dashboards, reports, and data visualizations using Power BI, Spotfire, or similar BI platforms
    .
  • Translate complex operational data into actionable insights that support business decisions.
  • Develop AI-powered analytics tools, intelligent workflows, automated reporting, and data-driven solutions.
  • Build and optimize analytics-ready data models using Databricks, Snowflake, or comparable cloud data platforms
    .
  • Work with structured and unstructured data to support scalable AI and business intelligence applications.
  • Perform data quality checks, troubleshoot data pipelines, and ensure the accuracy and reliability of analytics outputs.
  • Partner with data engineering and technical teams to improve data accessibility, integration, and performance.
  • Research emerging AI technologies and recommend opportunities to improve business processes and operational efficiency.
  • Document technical processes and communicate findings to technical and nontechnical stakeholders.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of experience in data analytics, business intelligence, data engineering, digital transformation, or a related technical field.
  • Upstream oil and gas industry experience is required
    , including familiarity with drilling, reservoir, production, or related operations.
  • Hands-on experience building dashboards, data visualizations, reports, and business intelligence solutions
    .
  • Proficiency with Power BI, Spotfire, or comparable visualization platforms
    .
  • Experience with Databricks, Snowflake, Google Cloud data platforms, or similar cloud data warehouse technologies
    .
  • Strong understanding of data modeling, data pipelines, data orchestration, and modern data architecture.
  • Demonstrated ability to work directly with business stakeholders, gather requirements, and translate operational needs into technical solutions.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications
  • Hands-on experience using Generative AI tools such as ChatGPT, Claude, or similar foundational models to improve analytics and business workflows.
  • Familiarity with Large Language Models (LLMs), Lang Chain, Model Context Protocol (MCP), and AI agent frameworks
    .
  • Experience developing AI-powered dashboards, intelligent assistants, or automated analytics workflows.
  • Background in petroleum engineering, reservoir engineering, drilling engineering, or upstream oil and gas operations.
  • Direct experience with Databricks and its data engineering and analytics capabilities.
  • Experience presenting analytics solutions to senior leadership and operational stakeholders.
Compensation & Work Location
  • Base Salary: $140,000-$170,000 annually
  • Additional Compensation: Discretionary bonus and benefits
  • Work Arrangement: 100% Onsite - No Remote or Hybrid
  • Employment Type: Full-Time, Direct Hire
  • Candidates willing to relocate to Denver at their own expense may be considered.
About Red Oak Technologies

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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