AI Analytics Engineer

Red Oak Technologies Inc.; Denver (CO); On-site; USD 125,000 - 180,000; Full time

Job summary

Red Oak Technologies Inc. is seeking an AI Analytics Engineer / AI Engineer to design, develop, test, and maintain AI-enabled workflows, data models, dashboards, and reports for data-driven decision making in the upstream oil and gas portfolio.

You will partner with data engineers and technical teams to deliver scalable AI and analytics products, applying knowledge of Databricks architecture, and AI frameworks to ensure accuracy and reliability in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in computer science, engineering, or another relevant field.
• 5+ years of experience in data analytics, digital transformation, BI, or data engineering, ideally in oil & gas.
• Hands-on experience with data visualization and modern data architecture.
• Experience with Databricks or similar platforms.
• Experience with AI including foundational models (Claude, ChatGPT) and frameworks like LangChain.

Responsibilities

• Collaborate with leadership and oil/gas teams to identify how data and AI can drive goals more efficiently.
• Design, build, and optimize curated data models transforming raw data into analytics-ready outputs in a Databricks architecture.
• Build AI/BI tools including reports, dashboards, AI pipelines for structured and unstructured data.
• Perform quality checks on AI and data pipeline outputs and troubleshoot issues.
• Document data processes/workflows and provide technical support to data users.
• Research and evaluate new data technologies and trends and recommend improvements.

Skills

Databricks

Spotfire

BI platforms

AI frameworks

LangChain

LLM-enabled workflows

data modeling

communication

Education

Bachelor’s degree in CS/Engineering

Tools

Databricks

Spotfire

Version control

Job description

Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering.

Our client is in the oil and gas sector. They are looking for an AI Analytics Engineer / AI Engineer to join their team. This role is a Direct Hire / Permanent / Full Time position. Position will be ONSITE. Candidate must be able to commute onsite to Denver, CO.

**Direct Hire / Permanent / Full Time**

**Onsite role**

Position Summary:

As an AI Analytics Engineer / AI Engineer, you will own the designing, developing, testing, and maintaining of AI-enabled workflows, data models, dashboards, and reports that support data-driven decision making across the organization. You will partner with data engineers and technical teams to deliver AI and analytics products that are accurate, reliable and scalable to the upstream oil and gas portfolio teams. An analytics engineer should have a good understanding of the technical work in building these robust data models/analytics tools, oil and gas industry knowledge, and able to communicate & work in a fast-paced environment.

Position Duties:

• Collaborate with senior leadership, oil/gas teams, and operational personnel to understand how data and AI can help them achieve their goals in a more efficient and constructive manner
• Design, build, and optimize curated data models that transform raw, staged source data into analytics-ready outputs with our Databricks architecture
• Build AI/BI tools including reports, dashboards, AI pipelines/chats for both unstructured & structured data
• Perform quality and accuracy checks on AI and data pipeline outputs, and troubleshoot issues
• Document data processes and workflows and provide technical support and guidance to data users
• Research and evaluate new data technologies and trends and provide recommendations for improvement

Position Requirements:

• Bachelor’s degree or higher in computer science, engineering, or another relevant field
• 5+ years of experience in data analytics, digital transformation, business intelligence, or data engineering roles—ideally within the oil & gas industries.
• Hands-on experience with data visualization, BI platforms (Spotfire), and modern data architecture.
• Understanding of data processes including data modeling, orchestration, and version control
• Experience in Databricks or similar data platforms
• Experience in AI including foundational models (especially Claude and ChatGPT), and modern AI frameworks and concepts such as MCP, LangChain, agent frameworks, LLM-as-OS, OKF, etc.
• Excellent analytical and problem-solving skills with strong attention to detail and quality
• Strong understanding of business fundamentals, communication and collaboration

Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life.

Five Core Value: Relationships First / Exceptional Quality and Service / Unwavering Integrity and Trust / Be Easy To Do Business With / Respect Everyone