Explore 2 python data engineer jobs from 1 hiring companies in Sour Lake, TX, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Principal Demand Planning &amp; Supply Chain Data Analytics
About NOV 
 NOV is a leading provider of technology, equipment, and services to the global oil and gas industry, supporting customers across the full lifecycle of drilling, completion, and production operations. Since 1862, NOV has driven innovation to improve cost efficiency, safety, and environmental performance. We continue to raise the standard for reliable, high-performance solutions that power the industry—and the world.
NOV Rig Technologies designs, builds, and supports some of the most advanced drilling solutions globally. Learn more: <a href="https://www.nov.com/about/our-company-structure/rig" target="_blank" rel="nofollow">https://www.nov.com/about/our-company-structure/rig</a>
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Position Overview
We are seeking a highly technical, hands-on leader in data analytics and engineering with deep expertise in Python, SQL, and modern data platforms. This role focuses on delivering scalable, production-grade analytics solutions that drive measurable impact across manufacturing and supply chain operations.
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Key Responsibilities
Technical Execution
<ul>
 <li>Develop and deploy advanced analytics solutions using Python and Snowflake SQL</li>
 <li>Design and manage Snowflake architecture, including environment promotion (dev/test/prod)&nbsp;</li>
 <li>Build interactive dashboards and applications (Power BI, Sigma, QlikView, Streamlit)&nbsp;</li>
 <li>Implement CI/CD pipelines and automate workflows using GitHub&nbsp;</li>
 <li>Develop and deploy cloud-native, containerized applications&nbsp;</li>
 <li>Design secure APIs and service-account-based architectures&nbsp;</li>
 <li>Apply test-driven development (TDD) and implement robust rollback strategies&nbsp;</li>
 <li>Perform large-scale data modeling, transformation, and wrangling across relational systems&nbsp;</li>
</ul>
Business &amp; Process Expertise
<ul>
 <li>Leverage deep understanding of ERP/MRP systems and data models&nbsp;</li>
 <li>Translate and optimize core operational workflows:&nbsp; 
 <ul>
 <li>Order-to-Cash &nbsp;</li>
 <li>Procure-to-Pay &nbsp;</li>
 <li>Demand-to-Deliver &nbsp;</li>
 </ul></li>
 <li>Drive improvements across enterprise-scale manufacturing and supply chain processes&nbsp;</li>
</ul>
Communication &amp; Impact
<ul>
 <li>Translate business needs into scalable technical solutions—and technical outcomes into business value&nbsp;</li>
 <li>Deliver ROI-driven analytics that influence strategic decisions&nbsp;</li>
 <li>Communicate effectively with executive stakeholders&nbsp;</li>
 <li>Lead and collaborate across cross-functional, global teams&nbsp;</li>
 <li>Demonstrate measurable business impact through data-driven initiatives&nbsp;</li>
</ul>
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Qualifications
<ul>
 <li>5+ years of experience in data science, analytics, or data engineering within manufacturing and/or supply chain environments&nbsp;</li>
 <li>Bachelor’s degree in Business, Analytics, Science, Engineering, or a related field required; Master’s degree preferred.</li>
 <li>Strong hands-on experience with ERP data and operational processes (order-to-cash, procure-to-pay, demand-to-deliver)&nbsp;</li>
 <li>Advanced proficiency in Python and SQL, including large-scale data processing&nbsp;</li>
 <li>Deep experience with Snowflake as a data platform&nbsp;</li>
 <li>Expertise in data visualization and dashboarding (Power BI, Sigma, QlikView, Streamlit)&nbsp;</li>
 <li>Experience deploying enterprise-scale solutions in cloud environments&nbsp;</li>
 <li>Proficiency with visualization libraries (e.g., Matplotlib, Seaborn, Plotly)&nbsp;</li>
 <li>Experience with CI/CD pipelines, GitHub automation, and version control best practices&nbsp;</li>
 <li>Ability to manage end-to-end development lifecycles, including promotion across environments&nbsp;</li>
 <li>Experience building containerized, scalable applications with secure API integrations&nbsp;</li>
 <li>Strong understanding of TDD, deployment safety, and rollback strategies&nbsp;</li>
 <li>Proven ability to deliver measurable business impact and ROI&nbsp;</li>
 <li>Excellent communication skills, including the ability to engage executive-level stakeholders&nbsp;</li>
 <li>Experience leading cross-functional teams across multiple geographies</li>
</ul>
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Competitive Benefits:&nbsp;(visit usbenefits.nov.com for more information about our benefits offerings)
<ul>
 <li>401(k) Retirement Plan – NOV matches every dollar up to 5% of base pay and overtime for every dollar you invest.</li>
 <li>Competitive medical plans that are effective your date of hire. Coverage options for just yourself as an eligible employee start at as little as $40 per pay period (bi-weekly), and plans that cover your entire family (yourself, eligible spouse, and eligible children) start at $150.50 per pay period (bi-weekly).&nbsp;</li>
 <li>Starting in 2026, FREE MDLIVE&nbsp;virtual visits (when enrolled in an NOV medical plan).</li>
 <li>FREE preventative medical and dental care for the entire family (when enrolled in an NOV medical/dental plan and seeing an in-network physician).</li>
 <li>FREE Basic Life and AD&amp;D insurance at 2 times your annual salary (for full-time employees).</li>
 <li>All regular full-time employees start with 3 weeks of paid vacation per year (prorated based on start date). Pre-NOV relevant experience (years of service) may be considered for vacation accruals.</li>
 <li>All regular full-time employees receive up to 11 paid holidays per year.</li>
</ul>

Principal Data Scientist

Data Scientist

5+ years in data science, analytics, or data engineering in manufacturing/supply chain; strong Python/SQL; Snowflake; ERP data; cloud, CI/CD; data visualization; TDD; cross-functional leadership.

NOV is a leading provider of technology, equipment, and services to the global oil and gas industry that supports customers’ full-field drilling, completion, and production needs. Since 1862, NOV has pioneered innovations that improve the cost-effectiveness, efficiency, safety, and environmental impact of oil and gas operations. We're continually pushing our own standards higher to deliver the safest, most efficient, and most reliable drilling solutions in the world. Join us as we continue to power the industry that powers the world.
NOV Rig Technologies makes and supports the world’s most advanced drilling solutions. To learn more about Rig Technologies products and services, please visit us at&nbsp;<a href="https://www.nov.com/about/our-company-structure/rig" target="_blank" rel="nofollow">https://www.nov.com/about/our-company-structure/rig</a>
Sr. Manager, Analytics and Operational Data Governance
Function: Operational Excellence, Rig Technologies Business Unit 
 Reports To: Vice President, Process Excellence and Analytics
Position Summary
The Sr. Manager, Analytics and Operational Data Governance is a business-embedded leader within the Rig Technologies Operational Excellence function. Reporting to the Vice President, Process Excellence and Analytics, this role is responsible for advancing business performance through trusted data, standardized KPIs, and actionable analytics.
The role leads the use of analytics to identify opportunities for revenue growth, margin improvement, cost reduction, and improved customer service, while establishing governance for critical operational data, reporting, and performance measures across the business unit. This is not an IT or Enterprise Systems role; it sits within the business and works closely with operations, supply chain, commercial, finance, and other functional leaders to improve visibility, alignment, and execution. The role also serves as a key business interface to the Corporate Enterprise Systems team to help prioritize and govern data, systems, and interface improvement initiatives, and leads a team of analysts responsible for delivering insights, performance reporting, and decision support to the business.
Key Responsibilities
<ul>
 <li>Lead analytics and operational data governance for the RT business unit within the OpEx function.&nbsp;</li>
 <li>Drive analytics that support revenue growth, margin improvement, cost reduction, and enhanced customer service, including opportunities in pricing, service performance, inventory optimization, forecast accuracy, and operational efficiency.&nbsp;</li>
 <li>Partner with business leaders to identify priorities and deliver actionable insights, dashboards, scorecards, and performance measures that support decision-making and business outcomes.&nbsp;</li>
 <li>Establish and govern standardized KPIs, business definitions, reporting logic, and critical operational data to improve consistency, transparency, and decision quality.&nbsp;</li>
 <li>Strengthen data ownership, stewardship, and data quality practices across key business processes and reporting domains.&nbsp;</li>
 <li>Serve as the business interface to the Corporate Enterprise Systems team, helping prioritize, monitor, and govern data, systems, and interface improvement initiatives across ERP, reporting, planning, and operational platforms.&nbsp;</li>
 <li>Lead and develop a team of analysts to deliver actionable insights, performance reporting, and analytics-driven decision support for the business.</li>
 <li>Improve business visibility and reduce conflicting reporting through scalable, business-led analytics and governance practices.&nbsp;</li>
 <li>Build cross-functional alignment and organizational capability to support execution, performance management, and continuous improvement.&nbsp;</li>
</ul>
Qualifications
<ul>
 <li>Bachelor’s degree in Engineering, Analytics, Information Systems, Computer Science, Finance, or a related field required.&nbsp;</li>
 <li>Master’s or PhD degree in a relevant field is strongly preferred.&nbsp;</li>
 <li>10+ years of progressive experience in analytics, business performance, operational excellence, data governance, or related disciplines.&nbsp;</li>
 <li>5+ years of leadership experience in a business-facing role.&nbsp;</li>
 <li>Demonstrated success building KPI frameworks, business reporting, and governance practices in a complex operating environment.&nbsp;</li>
 <li>Strong understanding of operational processes, performance management, and cross-functional business execution.&nbsp;</li>
 <li>Strong familiarity with ERP systems and experience using ERP data, process flows, and related reporting structures to support analytics, KPI governance, and operational improvement.</li>
 <li>Knowledge of modern analytics, data, and reporting tools and technology stacks, including Power BI, Tableau, SQL, Snowflake, Databricks, Microsoft Fabric, Azure data services, Alteryx, Python, and related analytics or machine learning libraries.</li>
 <li>Proven ability to exercise influence and drive alignment without direct authority.&nbsp;</li>
 <li>Strong communication, facilitation, and stakeholder engagement skills.&nbsp;</li>
</ul>
Preferred Experience
<ul>
 <li>Experience in manufacturing, industrial, energy, or other operationally complex environments.&nbsp;</li>
 <li>Experience supporting business transformation, process standardization, or continuous improvement initiatives.&nbsp;</li>
 <li>Familiarity with ERP-based reporting, enterprise data structures, and cross-functional performance management processes.&nbsp;</li>
</ul>
Success Measures
<ul>
 <li>Increased consistency and trust in RT operational KPIs and reporting&nbsp;</li>
 <li>Improved data quality for key operational data elements&nbsp;</li>
 <li>Measurable business impact from analytics tied to growth, margin, cost, and customer service performance&nbsp;</li>
 <li>Reduced duplication and conflict in business reporting&nbsp;</li>
 <li>Improved visibility to business performance and operational execution&nbsp;</li>
 <li>Stronger business ownership of data, metrics, and decision support</li>
</ul>

Sr. Manager, Analytics and Operational Data Governance

Senior Manager, Analytics and Operational Data Governance

10+ years in analytics and governance; 5+ years in leadership; Bachelor's in Engineering/Analytics/CS/Finance; strong KPI governance; ERP and analytics proficiency.

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