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Job Details

Skills

Performance Tuning
Data Management
Real-time
Data Flow
Workflow
Business Intelligence
Artificial Intelligence
Semantics
Database Administration
Relational Databases
Data Integration
Repair
Failure Analysis
Collaboration
Continuous Integration and Development
Continuous Integration
KPI
Regulatory Compliance
Continuous Improvement
Documentation
Dashboard
Telematics
Root Cause Analysis
Research
Oracle Linux
Accountability
Policies and Procedures
Reporting
Safety Management
Informatica
CMMS
Tableau
Communication
Presentations
Business Process
Customer Service
Roadmaps
Computer Hardware
Maximo
Maintenance Management
Oracle
Database
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Microsoft
Data Visualization
Microsoft Power BI
IBM Cognos Analytics
Management
Supervision
Computer Science
Electrical Engineering
Data Science
Data Analysis
Extract
Transform
Load
Machine Learning (ML)
Python
R
SQL
DAX
Mechanical Engineering

Performance Tuning
Data Management
Real-time
Data Flow
Workflow
Business Intelligence
Artificial Intelligence
Semantics
Database Administration
Relational Databases
Data Integration
Repair
Failure Analysis
Collaboration
Continuous Integration and Development
Continuous Integration
KPI
Regulatory Compliance
Continuous Improvement
Documentation
Dashboard
Telematics
Root Cause Analysis
Research
Oracle Linux
Accountability
Policies and Procedures
Reporting
Safety Management
Informatica
CMMS
Tableau
Communication
Presentations
Business Process
Customer Service
Roadmaps
Computer Hardware
Maximo
Maintenance Management
Oracle
Database
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Microsoft
Data Visualization
Microsoft Power BI
IBM Cognos Analytics
Management
Supervision
Computer Science
Electrical Engineering
Data Science
Data Analysis
Extract
Transform
Load
Machine Learning (ML)
Python
R
SQL
DAX
Mechanical Engineering

Summary

JOB DESCRIPTION

The Senior Data Engineer leads the development, analysis, and maintenance of telematics solutions for the Authority. This role develops and optimizes incoming data sources, models, and architecture to enable predictive/condition-based monitoring, transforming operational data into actionable insight to prevent unplanned downtime. This role builds reliable data systems that identify emerging failure patterns, quantify risk against defined thresholds, and support automated and/or technician-driven mitigations. This role supports reliability improvement through data-driven reliability centered maintenance strategies and continuous performance optimization.

Principal Job Duties

Data Pipeline Development: Develop, automate, and maintain data workflows (ETL - extract, transform, load) from telematic systems using Microsoft Fabric Data Factory and Python. - 20%
Condition Monitoring Development: Organize and deploy data management systems to monitor real-time and historical data from condition monitoring and telematic systems. - 15%
Dataflow Maintenance: Diagnose and resolve data workflows issues and proactively address data performance challenges to minimize downtime and ensure data availability. - 12%
Business Intelligence Development: Design and develop AI-assisted data transformations, semantic models, and Power BI reports to support operational decisions and identify early signs of component degradation or failure. - 10%
Database Management: Build and maintain large-scale relational databases to facilitate ETL processes and ensure quality and integrity of the data. - 10%
Data Integration: Lead efforts to integrate telematics data with enterprise computerized maintenance management systems for automated alerts and maintenance repair record creation. - 8%
Predictive Maintenance: Develop and refine predictive maintenance strategies and thresholds. - 8%
Asset Health / Failure Analysis: Analyze equipment health indicators (vibration, temperature, pressure, fault codes, etc.) to detect abnormal trends. - 7%
Collaboration: Collaborate with reliability engineers, asset engineers, maintenance teams, and IT teams to ensure continuous integration and operations of condition monitoring processes. - 5%
Performance Reporting: Develop and monitor key performance indicators (KPIs) related to asset health and condition monitoring program compliance. - 3%
Continuous Improvement: Support continuous improvement initiatives to enhance equipment reliability and asset lifecycle performance. - 2%

Other Duties

Maintain documentation, reports, and dashboards for system health and performance.
Evaluate telematics data against established thresholds, failure modes, and reliability models.
Perform root cause analysis (RCA) on failures and near-misses.
Recommend strategies and processes to enhance data reliability, efficiency, and quality.
Train peers and end users on all tools developed for monitoring assets health and performance.
Research and provide feedback to engineering teams on available condition monitoring technologies, predictive maintenance tools, and opportunities for incorporation on existing equipment.

Maintains and promotes awareness and accountability with safety policies and procedures while performing job functions. Promotes a positive safety culture and encourages reporting of safety concerns consistent with our Agency Safety Plan, other regulatory requirements within the Safety Management System and just culture principles.

The functions listed are not intended to limit specific duties and responsibilities of any particular position. Nor is it intended to limit in any way the right of managers and supervisors to assign, direct and control the work of employees under their supervision.

RESPONSIBILITIES

Knowledge

Knowledge of how telematic systems can be leveraged to improve reliability
Knowledge and understanding of at least one programming language (i.e., SQL, Informatica, Python)
Knowledge of using a Computerized Maintenance Management System (CMMS) to analyze, query and collect history of maintenance activities

Skills

Strong skills in manipulating large data sets using data analysis tools including Microsoft Excel, Tableau, or Power BI.
Communication: Strong communication and influencing skills, including the ability to convey high level technical concepts with non-experts and business leaders
Presenting: Skill in developing and presenting reports, findings, analysis, and recommendations to different audiences within the Authority.
Initiative: Thinks creatively to make improvements to current business processes and initiates creative ways of improving internal customer service.

Abilities

Ability to translate business priorities into clear plans, delivery roadmaps, and measurable outcomes
Ability to prioritize work and manage multiple responsibilities
Ability to organize and summarize large data sets into key findings
Ability to be available 24 hours 7 days a week.

Machine, Tools, Equipment, Software, Hardware Required

Maximo - Computerized Maintenance Management System
Oracle Databases
SQL Developer
Microsoft Office Suite (Excel, Access, Word, Power Point)
Microsoft Visual Studios
Data Visualization Software (MS Power BI, Cognos BI)

Supervisory Responsibility
Not responsible for supervising others.

QUALIFICATIONS

Minimum Education

Bachelor's degree in Computer Science, Reliability, Electrical, Mechanical, or related engineering field (i.e., Data Science).
- In lieu of a bachelor's degree, the following will be considered: a High School Diploma or GED and four (4) years of experience in an electrical, mechanical maintenance role or data analytics in addition to the experience stated below, will be considered.

Minimum Experience

Minimum of seven (7) years of progressive experience in engineering, reliability, maintenance, data science, data analytics, and/or related technical field.
- Minimum 2 years of experience with ETL (extract, transform, load) processes

Minimum Certification/Licensure

Preferred Qualifications

Experience in a reliability engineer role
Experience with ETL / data pipeline modernization
Experience with Machine Learning
Proficiency in either Python, R, SQL, or Dax
ASQ-CRE or CMRP certification preferred
Experience with mechanical/engineering systes

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL957249
Position Id: 255
Posted 1 hour ago

Job Details

Skills

Performance Tuning
Data Management
Real-time
Data Flow
Workflow
Business Intelligence
Artificial Intelligence
Semantics
Database Administration
Relational Databases
Data Integration
Repair
Failure Analysis
Collaboration
Continuous Integration and Development
Continuous Integration
KPI
Regulatory Compliance
Continuous Improvement
Documentation
Dashboard
Telematics
Root Cause Analysis
Research
Oracle Linux
Accountability
Policies and Procedures
Reporting
Safety Management
Informatica
CMMS
Tableau
Communication
Presentations
Business Process
Customer Service
Roadmaps
Computer Hardware
Maximo
Maintenance Management
Oracle
Database
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Microsoft
Data Visualization
Microsoft Power BI
IBM Cognos Analytics
Management
Supervision
Computer Science
Electrical Engineering
Data Science
Data Analysis
Extract
Transform
Load
Machine Learning (ML)
Python
R
SQL
DAX
Mechanical Engineering

Performance Tuning
Data Management
Real-time
Data Flow
Workflow
Business Intelligence
Artificial Intelligence
Semantics
Database Administration
Relational Databases
Data Integration
Repair
Failure Analysis
Collaboration
Continuous Integration and Development
Continuous Integration
KPI
Regulatory Compliance
Continuous Improvement
Documentation
Dashboard
Telematics
Root Cause Analysis
Research
Oracle Linux
Accountability
Policies and Procedures
Reporting
Safety Management
Informatica
CMMS
Tableau
Communication
Presentations
Business Process
Customer Service
Roadmaps
Computer Hardware
Maximo
Maintenance Management
Oracle
Database
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Microsoft
Data Visualization
Microsoft Power BI
IBM Cognos Analytics
Management
Supervision
Computer Science
Electrical Engineering
Data Science
Data Analysis
Extract
Transform
Load
Machine Learning (ML)
Python
R
SQL
DAX
Mechanical Engineering

Summary

Data Pipeline Development: Develop, automate, and maintain data workflows (ETL - extract, transform, load) from telematic systems using Microsoft Fabric Data Factory and Python. - 20%
Condition Monitoring Development: Organize and deploy data management systems to monitor real-time and historical data from condition monitoring and telematic systems. - 15%
Dataflow Maintenance: Diagnose and resolve data workflows issues and proactively address data performance challenges to minimize downtime and ensure data availability. - 12%
Business Intelligence Development: Design and develop AI-assisted data transformations, semantic models, and Power BI reports to support operational decisions and identify early signs of component degradation or failure. - 10%
Database Management: Build and maintain large-scale relational databases to facilitate ETL processes and ensure quality and integrity of the data. - 10%
Data Integration: Lead efforts to integrate telematics data with enterprise computerized maintenance management systems for automated alerts and maintenance repair record creation. - 8%
Predictive Maintenance: Develop and refine predictive maintenance strategies and thresholds. - 8%
Asset Health / Failure Analysis: Analyze equipment health indicators (vibration, temperature, pressure, fault codes, etc.) to detect abnormal trends. - 7%
Collaboration: Collaborate with reliability engineers, asset engineers, maintenance teams, and IT teams to ensure continuous integration and operations of condition monitoring processes. - 5%
Performance Reporting: Develop and monitor key performance indicators (KPIs) related to asset health and condition monitoring program compliance. - 3%
Continuous Improvement: Support continuous improvement initiatives to enhance equipment reliability and asset lifecycle performance. - 2%

Other Duties

Maintain documentation, reports, and dashboards for system health and performance.
Evaluate telematics data against established thresholds, failure modes, and reliability models.
Perform root cause analysis (RCA) on failures and near-misses.
Recommend strategies and processes to enhance data reliability, efficiency, and quality.
Train peers and end users on all tools developed for monitoring assets health and performance.
Research and provide feedback to engineering teams on available condition monitoring technologies, predictive maintenance tools, and opportunities for incorporation on existing equipment.

Maintains and promotes awareness and accountability with safety policies and procedures while performing job functions. Promotes a positive safety culture and encourages reporting of safety concerns consistent with our Agency Safety Plan, other regulatory requirements within the Safety Management System and just culture principles.

Knowledge of how telematic systems can be leveraged to improve reliability
Knowledge and understanding of at least one programming language (i.e., SQL, Informatica, Python)
Knowledge of using a Computerized Maintenance Management System (CMMS) to analyze, query and collect history of maintenance activities

Skills

Strong skills in manipulating large data sets using data analysis tools including Microsoft Excel, Tableau, or Power BI.
Communication: Strong communication and influencing skills, including the ability to convey high level technical concepts with non-experts and business leaders
Presenting: Skill in developing and presenting reports, findings, analysis, and recommendations to different audiences within the Authority.
Initiative: Thinks creatively to make improvements to current business processes and initiates creative ways of improving internal customer service.

Abilities

Ability to translate business priorities into clear plans, delivery roadmaps, and measurable outcomes
Ability to prioritize work and manage multiple responsibilities
Ability to organize and summarize large data sets into key findings
Ability to be available 24 hours 7 days a week.

Machine, Tools, Equipment, Software, Hardware Required

Maximo - Computerized Maintenance Management System
Oracle Databases
SQL Developer
Microsoft Office Suite (Excel, Access, Word, Power Point)
Microsoft Visual Studios
Data Visualization Software (MS Power BI, Cognos BI)

Supervisory Responsibility
Not responsible for supervising others.

QUALIFICATIONS

Minimum Education

Bachelor's degree in Computer Science, Reliability, Electrical, Mechanical, or related engineering field (i.e., Data Science).
- In lieu of a bachelor's degree, the following will be considered: a High School Diploma or GED and four (4) years of experience in an electrical, mechanical maintenance role or data analytics in addition to the experience stated below, will be considered.

Minimum Experience

Minimum of seven (7) years of progressive experience in engineering, reliability, maintenance, data science, data analytics, and/or related technical field.
- Minimum 2 years of experience with ETL (extract, transform, load) processes

Minimum Certification/Licensure

Preferred Qualifications

Experience in a reliability engineer role
Experience with ETL / data pipeline modernization
Experience with Machine Learning
Proficiency in either Python, R, SQL, or Dax
ASQ-CRE or CMRP certification preferred
Experience with mechanical/engineering systes

Dice Id: RTL957249
Position Id: 255
Posted 1 hour ago

ETL Developer - Entry Level

Remote

•

Today

Job DescriptionWe are seeking a motivated Entry-Level ETL Developer to join our data engineering team. The ideal candidate will have a strong foundation in SQL, databases, data integration, and programming, with an interest in building and maintaining reliable data pipelines. This position offers an opportunity to work with enterprise data platforms and collaborate with data engineers, analysts, application teams, and business stakeholders. ResponsibilitiesDevelop, maintain, and monitor ETL/ELT

Easy Apply

Full-time

60,000 - 80,000

Senior Data Engineer RCMP

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Summary

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