In this role, you will lead the development of a robust data ecosystem that transforms drilling, equipment, and operational data into actionable insights. You will work closely with engineers, data scientists, and operational experts to deliver reliable data solutions and enable analytics and ML/AI applications across NOV’s operations.
ResponsibilitiesDesign, develop, and optimize scalable, high-performance data pipelines supporting analytics, condition-based maintenance, and drilling optimization KPIs.
Build, deploy, and maintain reliable batch and streaming ETL/ELT pipelines for structured, unstructured, time-series, and high-frequency sensor data.
Develop data models, features, and architectures that support reporting, operational analytics, data science, machine learning, and AI applications.
Implement data quality controls, monitoring, testing, observability, and CI/CD practices to ensure reliable production solutions.
Work directly with engineers, data scientists, and operational experts to prepare data, engineer features, develop analytical solutions, and productionize predictive and machine learning models.
Provide technical leadership through hands-on development, establish engineering best practices, and mentor other team members.
Translate operational requirements into scalable data and analytical solutions while proactively identifying and addressing performance, data quality, and reliability risks.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Engineering, or related field.
Minimum 5+ years of professional experience in data engineering, software engineering, or related data-focused roles.
Strong hands-on experience with Python, PySpark, SQL and modern data engineering technologies.
Proven experience designing and operating scalable batch and streaming data pipelines.
Strong knowledge of data modeling, ETL/ELT, distributed processing, and cloud/hybrid data architectures.
Experience with platforms and technologies such as Databricks, Spark, SQL Server, Data Lakes, and SQL/NoSQL databases.
Experience with software engineering practices including Git, automated testing, CI/CD, and deployment automation.
Demonstrated technical leadership and ability to collaborate across engineering, data science, and operational teams.
Preferred Qualifications
Experience with data science, machine learning, or AI, including developing or productionizing analytical and predictive models.
Experience with predictive maintenance, anomaly detection, equipment monitoring, or operational optimization.
Experience with industrial IoT, telemetry, SCADA, WITSML, or other operational technology data.
Knowledge of drilling operations, drilling optimization KPIs, condition-based maintenance, and equipment reliability.
Databricks or cloud data engineering certification.
Experience with AWS or other major cloud platforms.
Knowledge of oil and gas industry operations and technology
Skills Required
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, or a related field
- Minimum 5+ years of professional experience in data engineering, software engineering, or related data-focused roles
- Strong hands-on experience with Python, PySpark, SQL, and modern data engineering technologies
- Experience designing and operating scalable batch and streaming data pipelines
- Strong knowledge of data modeling, ETL/ELT, distributed processing, and cloud or hybrid data architectures
- Experience with Databricks, Spark, SQL Server, data lakes, and SQL or NoSQL databases
- Experience with Git, automated testing, CI/CD, and deployment automation
- Demonstrated technical leadership and collaboration across engineering, data science, and operational teams
- Experience with data science, machine learning, or AI, including developing or productionizing analytical and predictive models
- Experience with predictive maintenance, anomaly detection, equipment monitoring, or operational optimization
- Experience with industrial IoT, telemetry, SCADA, WITSML, or other operational technology data
- Knowledge of drilling operations, drilling optimization KPIs, condition-based maintenance, and equipment reliability
- Databricks or cloud data engineering certification
- Experience with AWS or other major cloud platforms
- Knowledge of oil and gas industry operations and technology
NOV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NOV and has not been reviewed or approved by NOV.
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Healthcare Strength — Company materials describe comprehensive medical, dental, and vision coverage alongside life/disability insurance, a global EAP, wellness resources, and paid parental leave; the company also states it pays most U.S. health plan premiums, which bolsters perceived value.
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Retirement Support — The 401(k) program features auto‑enrollment, immediate vesting, and ongoing employer contributions; historical filings and comments point to a generally well‑regarded match even as exact formulas can change.
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Leave & Time Off Breadth — Paid parental leave and widely cited decent PTO at hire are complemented by options like experience‑based vacation credit and a flexible holiday, creating a rounded time‑off offering in many U.S. roles.
NOV Insights
What We Do
NOV delivers technology-driven solutions to empower the global energy industry. For more than 150 years, NOV has pioneered innovations that enable its customers to safely produce abundant energy while minimizing environmental impact. The energy industry depends on NOV’s deep expertise and technology to continually improve oilfield operations and assist in efforts to advance the energy transition towards a more sustainable future. NOV powers the industry that powers the world.
