Data Platform Engineer

INEOS • Denver, CO

2d • Onsite

About The Position

INEOS Energy is seeking a Data Platform Engineer to build and maintain the data models that transform raw operational data into decision-ready analytics. The role supports a data-driven, AI-enabled energy business and requires developing reliable, production-grade data solutions using dbt, SQL, Python, and other modern data stack tools. The engineer will work with stakeholders to translate business needs into scalable models and analytics solutions, with a focus on data modeling, governance, and modern data architecture.

The position integrates high-volume telemetry and SCADA data, including time-series data with irregular intervals, late-arriving and backfilled records, sensor gaps, and unit and tag standardization. The engineer will also build semantic and context layers for analysts and AI agents, and own the orchestration, CI/CD, testing, monitoring, and deployment processes behind the platform.

Work is performed at both field and office locations on a 9/80 schedule, with travel to INEOS field locations required. Candidates residing in the Denver metropolitan area receive preferential treatment. The role is not currently eligible for employment visa sponsorship.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
• At least 8 years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.
• Proven experience with Snowflake, Microsoft Azure, and common data transformation tools.
• Strong understanding of data modeling, data warehousing, data engineering processes, data governance, and development best practices.
• Strong communication skills and the ability to articulate technical concepts to diverse audiences.
• Exceptional problem-solving abilities and a strategic mindset.

Responsibilities

• Design and implement robust data models using established methodologies, such as Kimball and medallion, to support analytics, research, and AI agent workloads while balancing accuracy, performance, and ease of use.
• Build and maintain dbt models with disciplined testing, documentation, and version control, using Jinja and macros to create modular and reusable transformation logic.
• Integrate high-volume telemetry and SCADA data, addressing time-series characteristics including irregular intervals, late-arriving and backfilled records, sensor gaps, and unit and tag standardization.
• Write and optimize complex SQL transformations to meet reporting and analytical requirements and operate reliably under production load.
• Build semantic and context layers, including certified metric definitions, business-friendly naming, documented lineage, and descriptive context for analysts and AI agents.
• Partner with stakeholders to apply governance and documentation standards across platform solutions.
• Own orchestration and CI/CD pipelines, defining job dependencies and schedules and automating testing and deployment.
• Implement automated data quality checks, monitoring, and alerting to surface problems before stakeholders find them.

Benefits

• Healthcare insurance for employees and eligible dependents.
• Dental insurance for employees and eligible dependents.
• Vision insurance for employees and eligible dependents.
• Wellness, financial, and work/lifestyle-specific benefits.
• 401(k) with an automatic 6% company contribution and a match of up to an additional 6% of eligible compensation.
• Generous paid time off including sick and vacation time, which is based on and increases with industry experience.
• Opportunity for a company-wide annual discretionary bonus of up to 35% of eligible pay.
• May participate in the Long-Term Incentive Plan with annual awards vesting over three years, depending on skill level and experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior