Engineering Analyst
Engineering Analyst III
Location: Houston, TX 77079
Contract Duration: Until 04/27/2026, with a high likelihood of extension
Position Overview:
Enbridge is seeking an experienced and analytical Engineering Analyst III to support a large-scale data reconciliation and cleanup initiative focused on asset information integrity across multiple systems, including GIS, Maximo, and engineering drawings. This is a unique opportunity to bridge data engineering with operational asset insights, helping to create consistency and traceability across pipeline infrastructure data.
Key Responsibilities:
• Perform in-depth SQL queries across multiple data systems to identify and resolve discrepancies in asset data, especially valves.
• Map naming conventions and identifiers across systems like Maximo, GIS, and engineering drawings (P&IDs, schematic, and diagrammatic).
• Compile and standardize data mappings to build a reference structure or "truth table" for asset identification.
• Use geospatial data to assist in matching and validating asset records, though advanced GIS analysis is not required.
• Support data cleansing efforts to improve system-wide consistency of asset data.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Collaborate with various team members including drafters, data specialists, and stakeholders across departments.
• Present and document progress and findings using tools like Power BI (primarily for internal visualization use).
• Assist in deciphering drawings using symbology to align with database records.
• Conduct occasional deep-dive investigations and manual validation ("brute force") to resolve unmatched data.
Required Qualifications:
• 5+ years of experience working with SQL and databases for data retrieval and analysis.
• Proven experience working with large datasets and complex data structures.
• Solid understanding of relational databases and data mapping techniques.
• Strong communication skills — ability to summarize technical findings clearly for business stakeholders.
• Experience reading engineering drawings (especially P&IDs); ability to learn and interpret internal schematic/diagrammatic drawings.
• Analytical mindset with pattern recognition skills and attention to detail.
• Ability to work independently with limited supervision while maintaining alignment with broader team objectives.
Nice-to-Have Skills:
• Proficiency in Python and/or R for data wrangling and automation tasks.
• Familiarity with GIS/geospatial data tools (ArcGIS, QGIS, etc.).
• Experience with Power BI for creating internal dashboards and reports.
• Industry background in energy, utilities, pipelines, or oil & gas is a plus, but not required. Familiarity with physical asset data or infrastructure is beneficial.
• Knowledge of Maximo or other enterprise asset management (EAM) systems.
Soft Skills & Ideal Candidate Traits:
• Able to operate in an ambiguous environment with evolving priorities.
• Strong sense of ownership, initiative, and problem-solving.
• Balanced profile between technical ability and interpersonal communication.
• Comfortable with both independent deep work and collaborative stakeholder engagement.
• Not overly rigid — adaptable to new processes, systems, and evolving business needs.
Engineering Analyst III
Location: Houston, TX 77079
Contract Duration: Until 04/27/2026, with a high likelihood of extension
Position Overview:
Enbridge is seeking an experienced and analytical Engineering Analyst III to support a large-scale data reconciliation and cleanup initiative focused on asset information integrity across multiple systems, including GIS, Maximo, and engineering drawings. This is a unique opportunity to bridge data engineering with operational asset insights, helping to create consistency and traceability across pipeline infrastructure data.
Key Responsibilities:
• Perform in-depth SQL queries across multiple data systems to identify and resolve discrepancies in asset data, especially valves.
• Map naming conventions and identifiers across systems like Maximo, GIS, and engineering drawings (P&IDs, schematic, and diagrammatic).
• Compile and standardize data mappings to build a reference structure or "truth table" for asset identification.
• Use geospatial data to assist in matching and validating asset records, though advanced GIS analysis is not required.
• Support data cleansing efforts to improve system-wide consistency of asset data.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Collaborate with various team members including drafters, data specialists, and stakeholders across departments.
• Present and document progress and findings using tools like Power BI (primarily for internal visualization use).
• Assist in deciphering drawings using symbology to align with database records.
• Conduct occasional deep-dive investigations and manual validation ("brute force") to resolve unmatched data.
Required Qualifications:
• 5+ years of experience working with SQL and databases for data retrieval and analysis.
• Proven experience working with large datasets and complex data structures.
• Solid understanding of relational databases and data mapping techniques.
• Strong communication skills — ability to summarize technical findings clearly for business stakeholders.
• Experience reading engineering drawings (especially P&IDs); ability to learn and interpret internal schematic/diagrammatic drawings.
• Analytical mindset with pattern recognition skills and attention to detail.
• Ability to work independently with limited supervision while maintaining alignment with broader team objectives.
Nice-to-Have Skills:
• Proficiency in Python and/or R for data wrangling and automation tasks.
• Familiarity with GIS/geospatial data tools (ArcGIS, QGIS, etc.).
• Experience with Power BI for creating internal dashboards and reports.
• Industry background in energy, utilities, pipelines, or oil & gas is a plus, but not required. Familiarity with physical asset data or infrastructure is beneficial.
• Knowledge of Maximo or other enterprise asset management (EAM) systems.
Soft Skills & Ideal Candidate Traits:
• Able to operate in an ambiguous environment with evolving priorities.
• Strong sense of ownership, initiative, and problem-solving.
• Balanced profile between technical ability and interpersonal communication.
• Comfortable with both independent deep work and collaborative stakeholder engagement.
• Not overly rigid — adaptable to new processes, systems, and evolving business needs.
