AI Analytics Engineer

Red Oak Technologies, Inc.
Wheat Ridge, CO, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Architecture Data Validation Information Engineering Data Systems Data Visualization Decision Support Systems Document-Oriented Databases LangChain Large Language Models Agentic-AI
+10 more
Information Technology Data Analytics Data Management Machine Learning Operations Claude Spotfire GPT Software Version Control Data Pipelines Databricks

Job description

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., 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., * 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

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

About the company

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., 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. See what it’s like to be at the top; connect with one of our recruiters and apply today.

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

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