Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
Houston, TX, United States
Live, first seen by us 37 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead development of a data ecosystem for drilling and equipment data
Design, develop, and optimize scalable, high-performance data pipelines
Build, deploy, and maintain batch and streaming ETL/ELT pipelines
Support analytics, condition-based maintenance and drilling optimization
From the employer’s posting
lead the development of a robust data ecosystem that transforms drilling, equipment, and operational data into actionable insights
Design, develop, and optimize scalable, high-performance data pipelines
Build, deploy, and maintain reliable batch and streaming ETL/ELT pipelines
supporting analytics, condition-based maintenance, and drilling
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Engineering, or related field.
- 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.
Preferred experience
- 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.
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Engineering, or related field.
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.
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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 202637 days ago
- Recorded sightings
- 194
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 37
Similar jobs usually come down between day 6 and day 54.
At NOV, jobs usually come down by about day 56.
From 11,517 similar postings that came down, and 13 of NOV’s. Coming down is not always a hire.
NOV is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- NoSQL
- Spark
- SQL Server
- PySpark
Where the posting names them
- 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.
- Databricks or cloud data engineering certification. - Experience with AWS or other major cloud platforms. - Knowledge of oil and gas industry operations and technology
- 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.
Your next step
Complete your application on egay.fa.us6.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About NOV
- People
- About 11,339 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as NOV.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
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.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, TX, United States
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.