Linde · 1 day ago
Data Engineer
The Woodlands, TX
Full-time
Onsite
Entry, Mid Level
2+ years expLinde is a leading global industrial gases and engineering company, and they are seeking a Data Engineer to convert large amounts of data into actionable insights in the Equipment Health Center. The role involves developing scalable applications for data mining and predictive systems to enhance the reliability and efficiency of plant equipment.
Health CareIndustrialIndustrial EngineeringManufacturingMedicalOil and GasSustainability
Responsibilities
Lead, develop and manage Equipment Health Center KPIs
Analyze operational data from multiple sources and transform them into information by leveraging a variety of statistical techniques such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning
Create visualizations and/or interactive dashboards for displaying results to the EHC rotating and electrical experts using open-source and commercially available visualization and dashboard tools
Work with discipline experts to develop and build predictive models & new predictive technologies
Cooperate closely with CoE software and tool developers on the further development of existing predictive technologies and the development of new ones
Work with regional reliability teams to set implementation goals of predictive technology tools, assist with tool implementation and track the progress
Collaborate with subject matter experts and productivity team to evaluate and track the benefits of predictive technologies
Research and prioritize AI use cases
Coordinate external data service and development with providers
Support EHC engineers and consultants in the process of extracting, transforming and loading data to ensure proper data delivery and data quality
Conduct regular market research for efficient remote monitoring and data analytics methods to continuously improve EHC efficiency and effectiveness
Build data storytelling tools for communication efforts
Train/coach team members and peers and actively share expertise
Qualification
Required
Bachelor's or master's degree in computer science or engineering and 2+ years of relevant work experience in a related field
First-hand experience in predictive technologies and tool development
Preferred
Strong analytical and quantitative skills
Experience with Microsoft tools and SharePoint development
Excellent communication skills in English
Strong technical aptitude with the ability to analyze data and interpret information
Knowledge of predictive modeling, test design, and database querying
Strong intellectual curiosity with a desire to continue learning, exploring, improving, and revising methods of data analysis
Experience with VBA code or equivalent and SQL (MS/T-SQL) including stored procedures, indexes, jobs, etc
Familiarity with data visualization tools (e.g. Tableau, D3, SSRS, Power BI etc.) is a plus
Familiarity with scripting and data analysis programming languages (e.g. Python, R, etc.)
Familiarity with plant-wide industrial Historian (e.g. GE Proficy)
Willingness to build knowledge of theory and operation of rotating and electrical equipment
Benefits
Health, dental, disability, and life insurance
Paid holidays and vacation
401(k) matching
Pension benefits
An employee discount program
Opportunities for educational and professional growth
Company
Linde
Linde is an engineering company that supplies industrial, process, and specialty gases. It is a sub-organization of Linde Advanced Material Technologies.
10001+ employees
H1B Sponsorship
Linde has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (13)
2023 (11)
2022 (36)
2021 (28)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$889.66M2025-02-18Post Ipo Debt· $889.66M
2018-10-29IPO
2007-05-31Acquired
Leadership Team
Sanjiv Lamba
Chief Executive Officer
Sean Durbin
Chief Operating Officer
Recent News
Morningstar.com
2026-01-09
2026-01-03
2025-12-19
Company data provided by crunchbase