Senior Data Engineer
Job Location:
Houston, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Department:
Job Summary
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 NOVs operations.
Responsibilities
Design 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.
Qualifications
Required Qualifications
Bachelors or Masters 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
Required Experience:
Senior IC
About Company
Every day, the oil and gas industry’s best minds put more than 150 years of experience to work to help our customers achieve lasting success.We Power the Industry that Powers the WorldThroughout every region in the world and across every area of drilling and production, our family of ... View more
