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

Red Oak Technologies Inc.; Denver (CO); On-site; USD 140,000 - 170,000; Full time

Job summary

Red Oak Technologies is seeking an experienced AI Engineer – Data Analytics & Visualization for a direct-hire opportunity with an established investment firm in the energy sector. You will translate business challenges into dashboards, AI-enabled analytics, and data models, collaborating with drilling, reservoir, and operations teams to deliver insights.

The role emphasizes hands-on BI development, strong communication, and industry knowledge, with onsite Denver-based work and opportunities to

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, or 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 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.

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.

Skills

5+ years experience

BI dashboards

AI analytics

Data visualization

Upstream oil & gas

Power BI

Spotfire

Databricks

Snowflake

Cloud data platforms

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Power BI

Spotfire

Databricks

Snowflake

Google Cloud

Job description

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), LangChain, 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.