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Data Ops Lead NEX

Houston, TX, United States

Live, first seen by us 86 days ago
Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

Before you apply

Employer’s visa record
1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Run day-to-day operations of batch and streaming data pipelines

  • Define data SLAs, SLOs and reliability metrics

  • Lead incident triage, root cause analysis and post-incident reviews

  • Build Python automation for data operations and monitoring

  • Implement data quality checks, validations and monitoring

From the employer’s posting
Own the day-to-day operational health of cloud-based data pipelines and platforms
Define and manage data SLAs, SLOs, and reliability metrics
Lead response to data incidents, including triage, mitigation, and root cause analysis
Build and maintain Python-based automation for data operations and monitoring
Implement and maintain data quality checks, validations, and monitoring

What you’ll bring

All qualifications

Core experience

  • 7+ years in data engineering, DataOps or data platform operations
  • 3+ years operating cloud-based data platforms in production
  • Strong Python for pipelines and operational tooling
  • Strong SQL skills for analysis and troubleshooting
Qualification wording
7+ years experience in Data Engineering, DataOps, or Data Platform Operations
3+ years experience operating cloud-based data platforms in production
Strong proficiency in Python for data pipelines, automation, and operational tooling
Strong SQL skills for data analysis and troubleshooting
Education & alternatives
Minimum Qualifications: - Bachelor’s degree in Business, Information Technology, Computer Science, or a related field. - 7+ years experience in Data Engineering, DataOps, or Data Platform Operations
Apply at Patterson Uti Energy

Posting record

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Status in our records
Live
First seen by us
Aug 19, 202686 days ago
Recorded sightings
246
Last seen by us
Nov 14, 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

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 86

Up longer than most. Similar jobs usually come down between day 6 and day 56.

From 13,662 similar postings that came down. Coming down is not always a hire.

Patterson Uti Energy is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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
  • Azure
  • BigQuery
  • GCP
  • Kubernetes
  • Terraform
  • Airflow
Where the posting names them
- Automation & Tooling - Build and maintain Python-based automation for data operations and monitoring - Improve reliability and repeatability through standardized tooling and workflows
- Observability: GCP Cloud Monitoring, Logging - Strong proficiency in Python for data pipelines, automation, and operational tooling - Experience with data orchestration frameworks (Airflow preferred)
- Proven experience leading data incident response and operational improvements - Strong SQL skills for data analysis and troubleshooting Minimum Qualifications:
- Experience with Infrastructure as Code (Terraform) - Experience with Azure Devops - Proven experience leading data incident response and operational improvements
- Cloud & Infrastructure - Operate and optimize GCP-based data services, including BigQuery, Cloud Storage, Pub/Sub, and GKE - Partner with platform and SRE teams on scalability, performance, and cost optimization
- Cloud Monitoring & Logging - BigQuery - Dataflow
We are seeking a DataOps Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms. This role sits at the intersection of data engineering, platform operations, and reliability, supporting critical data pipelines that power analytics, reporting, and operational decision-making across oilfield and energy operations. The DataOps Lead will be responsible for ensuring that data is available, accurate, timely, and trustworthy, while leading operational best practices across ingestion, processing, and delivery systems running primarily on Google Cloud Platform (GCP). This is a hands-on technical leadership role with strong expectations for ownership, cross-team collaboration, and continuous improvement.
- 3+ years experience operating cloud-based data platforms in production - Strong hands-on experience with Google Cloud Platform, including: - GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents)
- Strong hands-on experience with Google Cloud Platform, including: - GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents) - Cloud Monitoring & Logging
- Kubernetes: deployment, scaling, reliability patterns - Observability: GCP Cloud Monitoring, Logging - Strong proficiency in Python for data pipelines, automation, and operational tooling
- Composer/AIrflow - Kubernetes: deployment, scaling, reliability patterns - Observability: GCP Cloud Monitoring, Logging
- Partner with platform and SRE teams on scalability, performance, and cost optimization - Manage data infrastructure using Infrastructure as Code (Terraform) - Automation & Tooling
- Experience with data orchestration frameworks (Airflow preferred) - Experience with Infrastructure as Code (Terraform) - Experience with Azure Devops
- Improve reliability and repeatability through standardized tooling and workflows - Support and enhance data orchestration platforms (e.g., Airflow / Cloud Composer) - Incident Response & Operational Excellence
- Strong proficiency in Python for data pipelines, automation, and operational tooling - Experience with data orchestration frameworks (Airflow preferred) - Experience with Infrastructure as Code (Terraform)

Your next step

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About Patterson Uti Energy

People
About 7,900 in 2025, down 14% from the year before.Annual report (SEC Form 10-K)
Company
Listed as PTEN.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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

View original posting ↗

Brief Description:

We are seeking a DataOps Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms. This role sits at the intersection of data engineering, platform operations, and reliability, supporting critical data pipelines that power analytics, reporting, and operational decision-making across oilfield and energy operations.

The DataOps Lead will be responsible for ensuring that data is available, accurate, timely, and trustworthy, while leading operational best practices across ingestion, processing, and delivery systems running primarily on Google Cloud Platform (GCP).

This is a hands-on technical leadership role with strong expectations for ownership, cross-team collaboration, and continuous improvement.

Detailed Description:

  • Data Platform Operations

    • Own the day-to-day operational health of cloud-based data pipelines and platforms

    • Ensure high data availability, freshness, accuracy, and completeness

    • Lead operational support for batch and streaming data workloads

  • Data Reliability & Quality

    • Define and manage data SLAs, SLOs, and reliability metrics

    • Implement and maintain data quality checks, validations, and monitoring

    • Design processes for backfills, reprocessing, and failure recovery

  • Cloud & Infrastructure

    • Operate and optimize GCP-based data services, including BigQuery, Cloud Storage, Pub/Sub, and GKE

    • Partner with platform and SRE teams on scalability, performance, and cost optimization

    • Manage data infrastructure using Infrastructure as Code (Terraform)

  • Automation & Tooling

    • Build and maintain Python-based automation for data operations and monitoring

    • Improve reliability and repeatability through standardized tooling and workflows

    • Support and enhance data orchestration platforms (e.g., Airflow / Cloud Composer)

  • Incident Response & Operational Excellence

    • Lead response to data incidents, including triage, mitigation, and root cause analysis

    • Drive post-incident reviews and track corrective actions

    • Create and maintain runbooks, operational documentation, and playbooks

  • CI/CD & Governance

    • Implement CI/CD best practices for data pipelines

    • Promote testing, version control, and deployment standards across data workflows

    • Ensure data platforms align with security, governance, and access control requirements

  • Leadership & Collaboration

    • Act as a technical leader within the DataOps function

    • Partner closely with:

      • Data engineering teams

      • SRE / platform engineering

      • Analytics and business stakeholders

    • Mentor engineers and help raise the operational maturity of the data organization

Required Knowledge, Skills, and Abilities:

  • 7+ years experience in Data Engineering, DataOps, or Data Platform Operations

  • 3+ years experience operating cloud-based data platforms in production

  • Strong hands-on experience with Google Cloud Platform, including:

  • GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents)

  • Cloud Monitoring & Logging

  • BigQuery

  • Dataflow

  • Datastream

  • IAM and networking

  • Composer/AIrflow

  • Kubernetes: deployment, scaling, reliability patterns

  • Observability: GCP Cloud Monitoring, Logging

  • Strong proficiency in Python for data pipelines, automation, and operational tooling

  • Experience with data orchestration frameworks (Airflow preferred)

  • Experience with Infrastructure as Code (Terraform)

  • Experience with Azure Devops

  • Proven experience leading data incident response and operational improvements

  • Strong SQL skills for data analysis and troubleshooting

 

Minimum Qualifications:

  • Bachelor’s degree in Business, Information Technology, Computer Science, or a related field.

  • 7+ years experience in Data Engineering, DataOps, or Data Platform Operations

  • 3+ years leading or owning production data platforms in a cloud environment

  • Demonstrated technical leadership of data operations initiatives or teams

  • Ability to understand and speak English at a level of proficiency allowing employee to issue, receive and respond to both safety and operations-related directions in English

 

Preferred Qualifications:

  • Oil and Gas Industry knowledge

  • Technology/Digital Industry knowledge

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Houston, TX, United States

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