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Open nowPosted 3 days ago

Data Platform Engineer

ineos51 open roles

Pay
$125,000 – $165,000 a year
Where
Denver, CO
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Your applicationOpen nowData Platform Engineerineos · Denver, CO

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ineos postings stay open a median of 11 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 3 days ago

ineos median: 11 days open

The posting

Excited to grow your career?

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. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

Compensation Grade

ONS-USD-35

Who We Are

INEOS Energy

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.

About the job

Job Title: Data Platform Engineer

Department: Information Technology

Summary of Position

We're seeking a skilled Data Platform Engineer to own the models that turn raw operational data into decision-ready analytics. We're a data-driven, AI-enabled energy company, and the quality of our decisions depends directly on the quality of the data layer you'll build. 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. The ideal candidate brings deep expertise in data modeling methodologies, data governance, and modern data architecture, with a strong focus on building reliable, production-grade data solutions.

Primary Job 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.

Education & Experience

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

· 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.

Travel & Additional Requirements

  • Work Location: Work is performed at both field and office locations.
  • Schedule: 9/80
  • Travel required to INEOS field locations.
  • INEOS is a drug free workplace. All offers to successful candidates will be subject to successful background check and drug screen.

Relocation

Preferential treatment will be granted to candidates residing in the Denver metropolitan area.

Work Authorization

INEOS USA Oil & Gas LLC is not currently sponsoring employment visas for this position.

Compensation & Benefits

Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act (EPEWA) and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation.

Compensation

The annual rate for this position generally ranges between $125,000 - $165,000 with an opportunity for a company-wide annual discretionary bonus, of up to 35% of eligible pay. This role, depending on skill level and experience, may also participate in the Long-Term Incentive Plan with annual awards, vesting over three years. These ranges are estimates, based on potential employee qualifications, operational needs, business performance to metrics, and other considerations permitted by law. The range may vary above and below the stated amounts, as permitted by Colorado Equal Pay Transparency Rule 4.1.2.

Benefits:

Benefits package includes healthcare, dental, and vision insurance for employees and eligible dependents. INEOS also offers 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. We offer generous paid time off that includes both sick and vacation which is based on and increases, with industry experience.

Application Deadline:

Application Deadline: November 13, 2026.

Notice To Third Party Agencies:

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.

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