Tag Data Quality Lead for EPC Engineering

ClearpointCo; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

ClearpointCo, based in Houston, TX, seeks a Data Management Engineer to ensure the quality of engineering tag data across projects, focusing on the three Cs: Correctness, Completeness, and Consistency.

You will work with Engineering, Supply Chain, Completion & Commissioning, vendors, and Digital teams to identify, communicate, and resolve data quality issues while developing sustainable processes and standards.

Qualifications

• 5+ years in Information Management or Data Management within Oil & Gas EPC environments.
• Hands-on experience with engineering tag data, tag databases, and tag registers.
• Experience with AVEVA, SAP, EDMS, CMMS or similar systems.
• Advanced Excel skills; SQL and data validation tools preferred.
• Experience with cloud platforms (AWS, Azure or similar).

Responsibilities

• Accountable for the quality of all tag data on assigned projects, ensuring data meets established standards for Correctness, Completeness, and Consistency.
• Perform data quality reviews, validation, and reconciliation of engineering tag data within project databases.
• Collaborate with Engineering disciplines to identify, explain, and resolve data quality issues while supporting project schedules and deliverables.
• Develop repeatable processes, controls, and best practices to prevent recurring data quality issues across projects.
• Author, maintain, and improve corporate data management procedures, standards, and governance documentation.
• Define, monitor, and report data quality KPIs, escalating risks, trends, and issues to key stakeholders.

Skills

Data management

SQL

Excel

Cloud platforms

Engineering data

Tools

AVEVA

SAP

EDMS

CMMS

Job description

ClearpointCo, based in Houston, TX, seeks a Data Management Engineer to ensure the quality of engineering tag data across projects, focusing on the three Cs: Correctness, Completeness, and Consistency.

You will work with Engineering, Supply Chain, Completion & Commissioning, vendors, and Digital teams to identify, communicate, and resolve data quality issues while developing sustainable processes and standards.