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About the Role

We're seeking a skilled Data Platform Engineer to own the models that turn raw operational data into decision-ready analytics. In this role, you'll design, develop, and maintain scalable data models and analytics solutions, working directly with stakeholders to translate complex business requirements into efficient models using dbt, SQL, Python, and other modern data stack tools.

Responsibilities

Design and implement robust data models using established methodologies (e.g., Kimball, medallion, etc.) to support analytics, research, and AI agent workloads — balancing accuracy, performance, and ease of adoption by downstream consumers.
Build and maintain dbt models with disciplined testing, documentation, and version control, using Jinja and macros to keep transformation logic modular and reusable.
Integrate high-volume telemetry and SCADA data, handling the time-series characteristics of field measurement — irregular intervals, late-arriving and backfilled records, sensor gaps, and unit and tag standardization — so operational data is as trustworthy as financial data.
Write and optimize complex SQL transformations that meet reporting and analytical requirements while holding up under production load, on cost and on time.
Build the semantic and context layers that sit between raw models and their consumers — certified metric definitions, business-friendly naming, documented lineage, and the descriptive context that lets both analysts and AI agents resolve a business question to the right data without guesswork — partnering with stakeholders to keep governance and documentation standards applied across every solution the platform delivers.
Own the orchestration and CI/CD pipelines behind the platform, defining job dependencies and schedules and automating testing and deployment so changes reach production safely, repeatably, and without manual intervention.
Champion data testing and validation, implementing automated quality checks, monitoring, and alerting so that problems surface before stakeholders find them.

Requirements

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, with the ability to articulate technical concepts to diverse audiences.
Exceptional problem-solving abilities and a strategic mindset.
INEOS is a drug free workplace. All offers to successful candidates will be subject to successful background check and drug screen.
INEOS USA Oil & Gas LLC is not currently sponsoring employment visas for this position.

Skills

dbt
SQL
Python
Snowflake
Microsoft Azure
data modeling
data warehousing
data engineering processes
data governance
Jinja
macros
CI/CD pipelines

Location

Denver metropolitan area
field locations
office locations

Work Type

9/80 schedule
hybrid

Experience Level

8+ years

Education Level

Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.

Salary/Compensations

$125,000 - $165,000
opportunity for a company-wide annual discretionary bonus, of up to 35% of eligible pay
may also participate in the Long-Term Incentive Plan with annual awards, vesting over three years

Benefits

healthcare, dental, and vision insurance for employees and eligible dependents
several other wellness, financial, and work/lifestyle-specific benefits
401(k) retirement has both an automatic 6% company contribution and a match of up to an additional 6% of eligible compensation
generous paid time off that includes both sick and vacation which is based on and increases, with industry experience

About the Company

INEOS was founded in 1998 by Sir Jim Ratcliffe with a single site and has grown into one of the world's largest privately owned manufacturing groups.
We have grown by buying good assets and running them better with small, empowered teams, minimal bureaucracy and a relentless focus on performance.
INEOS Energy is building a global energy business, and our US Onshore team in Denver currently operates approximately 2,000 wells in the Eagle Ford shale play of South Texas.
We are a small team with a big mandate: grow the business through disciplined development and acquisitions.

Equal Opportunity

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions.
Preferential treatment will be granted to candidates residing in the Denver metropolitan area.
INEOS does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to INEOS in the absence of a signed Service Agreement where INEOS has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of INEOS and INEOS will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.