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Condition Monitoring & Reliability Analytics Engineer 90230

Pay
Pay not listedSimilar roles state $89K–$149K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyMust be a US citizen, or authorized to work lawfully in the United States, without sponsorship from Seadrill

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in a relevant engineering or technical field, or equivalent combination of technical training and experience; coursework or experience in data science or statistics is an advantage.
Qualification wording
Bachelor’s degree in a relevant engineering or technical field, or equivalent combination of technical training and experience; coursework or experience in data science or statistics is an advantage.
Education & alternatives
Preferred - Bachelor’s degree in a relevant engineering or technical field, or equivalent combination of technical training and experience; coursework or experience in data science or statistics is an advantage. - Vibration Analyst Category II certification to ISO 18436-2 (VCAT-II) preferred; Category I at a minimum.
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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
1

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How this job compares

Pay

$89K–$149K is typical

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

From 21,366 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

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From 39,241 similar postings that came down. Coming down is not always a hire.

Seadrill is hiring

1 open job

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Hiring record

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  • Python
  • R
  • SQL
  • Excel
  • pandas
Where the posting names them
- Working knowledge of rotating equipment (e.g., pumps, motors, compressors, gearboxes, fans) and their common failure modes, and of vibration analysis fundamentals (FFT spectrum, time waveform, envelope analysis, trending and alarm limits). - Hands-on experience analyzing maintenance or operational data using Python (e.g., pandas) or R, and SQL to query enterprise databases. - Experience building dashboards and reports using business intelligence (BI) tools, and advanced Excel skills.
- Hands-on experience analyzing maintenance or operational data using Python (e.g., pandas) or R, and SQL to query enterprise databases. - Experience building dashboards and reports using business intelligence (BI) tools, and advanced Excel skills. - Ability to prepare clear technical reports and documentation, translate data findings into practical maintenance recommendations, and support maintenance audits.

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About Seadrill

People
About 3,000 in 2025, down 9% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SDRL.

Job description

View original posting ↗

The Condition Monitoring & Reliability Analytics Engineer turns maintenance, condition monitoring and control system data into decisions that improve the safety, reliability and availability of the Seadrill fleet. Working with onshore and offshore teams, the engineer analyzes fleet condition monitoring data to diagnose developing machinery faults, and uses Maximo and data analytics to identify recurring failures and reliability trends. Findings are translated into prioritized, actionable maintenance recommendations and optimized maintenance strategies that reduce unplanned downtime while meeting corporate, regulatory and class requirements. The role also contributes to the development of data-driven and AI-supported decision tools for maintenance, and trains onshore and offshore personnel on maintenance processes, condition monitoring and the effective use of Maximo.

Maintenance Management

  • Support consistent and effective use of Maximo across the fleet in accordance with Seadrill maintenance policies, procedures and standards, ensuring maintenance requirements reflect applicable regulatory and class requirements.

  • Provide maintenance, condition monitoring and EAM technical support to onshore and offshore personnel, working with corporate teams, operations and subject matter experts to resolve technical queries.

  • Implement approved maintenance and reliability improvements in Maximo and associated documentation through the applicable management of change process, ensuring consistent application across the fleet.

  • Support the expansion of the Asset Lifecycle Management (ALCM) program by providing equipment condition, failure and performance data to prioritize assets and inform lifecycle decisions.

Condition Monitoring 

  • Support the fleet vibration monitoring program by reviewing and analyzing vibration data (spectra, time waveforms, envelope/demodulation and trends) from portable routes and online systems to detect and diagnose machinery faults such as unbalance, misalignment, looseness, bearing and gear defects, lubrication issues and resonance.

  • Prepare clear vibration monitoring reports stating machine condition severity, fault diagnosis and recommended actions; communicate findings to rig teams and track recommendations to closure through Maximo work orders, verifying effectiveness with follow-up measurements.

  • Maintain the vibration monitoring database, including machine hierarchies, measurement points, setups, alarm limits (aligned with ISO 20816) and route schedules, and monitor data quality and route compliance across the fleet.

  • Support the fleet lubricant analysis program by reviewing oil sample results, identifying contamination, wear and degradation trends, and correlating them with vibration findings.

  • Perform onsite measurements and special tests (e.g., phase analysis, impact/bump testing, run-up/coast-down) when required.

  • Coordinate with condition monitoring service providers and equipment manufacturers to ensure the quality and timely delivery of data, reports and findings.

Data Analytics & Decision Support

  • Extract, clean and combine data from Maximo (work orders, failure codes, PM history), control systems and historian data, and condition monitoring databases to build reliable, analysis-ready datasets.

  • Improve the quality of failure reporting data in Maximo, including mode/mechanism/cause coding and asset hierarchy consistency, to enable meaningful reliability analysis.

  • Develop and maintain fleet reliability KPIs and dashboards (e.g., bad actors, MTBF, repeat failures, condition-based maintenance coverage, recommendation closure rate) to support decision-making.

  • Apply statistical and reliability analysis methods (e.g., Weibull analysis, failure trending, P-F interval estimation) to equipment performance and maintenance history to optimize maintenance strategies, tasks and intervals.

  • Combine vibration evidence with control system data (e.g., speed, load, temperature) to identify equipment deterioration signatures and support investigations and root cause analysis of significant or recurring failures; coordinate corrective actions with rig teams and technical specialists and verify their effectiveness.

  • Play an active role in developing an AI-supported decision-support tool for condition monitoring: define use cases, prepare and label historical fault data, validate model outputs against analyst diagnosis, and work with the Technology team on deployment, so that anomaly detection and fault classification become faster and more consistent.

Training & General

  • Provide training and guidance to onshore and offshore personnel on maintenance policies and processes, effective use of Maximo, and vibration data collection, sensor mounting and route execution.

  • Maintain all documentation and certifications, including relevant medicals and offshore safety training, required for travel to company offices and offshore assets as directed by the supervisor.

Knowledge, Skills & Experience

Essential

  • Minimum of five (5) years of relevant experience in a technical maintenance environment; offshore experience with maintenance operations preferred.

  • Working knowledge of enterprise maintenance systems and their use in managing maintenance activities and equipment history.

  • Working knowledge of equipment reliability principles, structured problem-solving, maintenance strategy development, and using equipment and maintenance data to identify and implement improvements.

  • Strong technical knowledge related to mechanical, electrical and/or marine systems.

  • Working knowledge of rotating equipment (e.g., pumps, motors, compressors, gearboxes, fans) and their common failure modes, and of vibration analysis fundamentals (FFT spectrum, time waveform, envelope analysis, trending and alarm limits).

  • Hands-on experience analyzing maintenance or operational data using Python (e.g., pandas) or R, and SQL to query enterprise databases.

  • Experience building dashboards and reports using business intelligence (BI) tools, and advanced Excel skills.

  • Ability to prepare clear technical reports and documentation, translate data findings into practical maintenance recommendations, and support maintenance audits.

  • Strong organizational and analytical skills, with attention to detail and the ability to prioritize work and follow actions through to completion.

  • Ability to collaborate with onshore and offshore teams, communicate technical information at different levels, and provide practical training and guidance.

  • Fluent in spoken and written English.

Desired

  • Excellent understanding of Maximo or similar asset management systems.

  • Demonstrated history of working effectively in offshore marine/subsea settings in the naval sector and/or the oilfield and energy industry.

  • Demonstrated hands-on experience applying reliability methods (e.g., RCM, FMECA, Weibull analysis, failure investigation), achieving measurable equipment performance improvements and contributing to standardized reliability practices.

  • Experience interpreting oil analysis results to assess equipment condition and guide maintenance decisions.

  • Experience applying machine learning to time-series or condition monitoring data (e.g., anomaly detection, fault classification).

  • Experience with process historians (e.g., AVEVA PI) or drilling control system data.

  • Experience with portable vibration data collectors and analysis software, as well as online/wireless condition monitoring systems.

  • Experience analyzing variable-speed and low-speed machinery typical of drilling units (e.g., top drives, drawworks, mud pumps, thrusters), including order tracking, phase analysis and impact/resonance testing.

  • Familiarity with relevant standards such as ISO 20816 (vibration severity), ISO 13373 (vibration condition monitoring), ISO 18436-2 (vibration analyst certification) and ISO 55000 (asset management).

  • Fluent in spoken and written Portuguese, to support Seadrill’s operations in Brazil.

Minimum Requirements

  • Must be a US citizen, or authorized to work lawfully in the United States, without sponsorship from Seadrill.

  • Must be able and willing to work regularly from Seadrill’s Houston office location during typical and customary business hours.

  • Flexible to travel offshore and internationally as required, wherever Seadrill operates, and able to obtain and maintain the required offshore certifications (e.g., BOSIET/HUET and offshore medical).

  • Must pass Drug Screen and Background Check.

  • Willing to obtain Vibration Analyst Category II certification to ISO 18436-2 within 18 months of hire, if not already held.

Preferred

  • Bachelor’s degree in a relevant engineering or technical field, or equivalent combination of technical training and experience; coursework or experience in data science or statistics is an advantage.

  • Vibration Analyst Category II certification to ISO 18436-2 (VCAT-II) preferred; Category I at a minimum.

  • Machine Lubricant Analyst (MLA) certification.

  • Certified Maintenance & Reliability Professional (CMRP) or equivalent

 

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Pay

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Location & working pattern

Houston, United States

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Work authorization
Minimum Requirements - Must be a US citizen, or authorized to work lawfully in the United States, without sponsorship from Seadrill. - Must be able and willing to work regularly from Seadrill’s Houston office location during typical and customary business hours.

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