Senior Data Engineer

About the role

CB&I, which delivers storage and asset-management solutions for facilities, is hiring a Data Engineer in The Woodlands, Texas. The Data Engineer designs, develops, integrates and optimizes enterprise data platforms, pipelines and data models that support reporting, analytics, automation and AI. The role reports to the Director, Applications and Data Management and works with Global IT, Global Business Leads, Global Functional Leads and Project Management.

Key responsibilities

• Assess data management requirements and select and implement suitable data platform technologies.
• Lead the design of robust, scalable data pipelines and set data architecture and engineering standards.
• Establish best practices for data quality and security and collaborate with infrastructure and cybersecurity teams to secure the data infrastructure.
• Work with data analysts and business stakeholders to deliver clean, reliable datasets for machine learning and analytics.
• Optimize data systems for performance, scalability and cost, and troubleshoot pipeline issues.
• Design and implement data models such as star schema and dimensional models, and automate repetitive data processes.
• Maintain documentation of pipelines, processes and architectures, and advise on data governance, compliance, stewardship and risk.
• Provide technical leadership across initiatives and influence larger, long-term projects.

Required profile

• Bachelor's degree in computer science, data engineering, information systems or equivalent experience; master's degree preferred.
• 15 years of general data and application experience, 10+ in data engineering, including ETL/ELT, data modeling and cloud platforms.
• Demonstrated team project delivery, clear communication, presentation and training leadership, and experience managing vendor relationships.
• Experience in the Architecture, Engineering and Construction industry is a plus; relevant certifications preferred.

Required skills

• Programming: Python, Java, C#
• SQL and database systems such as SQL Server, Oracle, MongoDB
• Data pipeline tools: Informatica, Azure Data Factory, Apache Kafka
• Cloud data platforms: Snowflake, Microsoft Synapse, Databricks
• Reporting and visualization: PowerBI, Tableau, Business Objects
• Data modeling, data warehousing, master data management, data governance and security