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# Data Engineer

- **Company:** Cb & I
- **Location:** The Woodlands, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, C Sharp (Programming Language), Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Microsoft SQL Server, MongoDB, Oracle (Applications), Power BI, Cloud Services, SQL Databases, Systems Architecture, Systems Integration, Tableau (Software), Azure Data Factory, Informatica Powercenter, Snowflake, Sap Business Objects, Information Technology, Star Schema, Apache Kafka, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=87369882ec225830

## About the Role

* A bachelor's degree in computer science, data engineering, information systems, or equivalent work experience required. Master's degree in computer science, data engineering, or information systems preferred.
 * 15 years of general data and application experience, 10+ years specifically in data engineering, including hands-on work with ETL/ELT processes, data modeling, and cloud platforms.
 * Strong expertise in programming languages (e.g., Python, Java, C#).
 * Strong expertise querying databases with SQL.
 * Extensive experience with data pipeline tools (e.g., Informatica, Azure Data Factory, Apache Kafka).
 * Experience with database management systems (e.g. SQL Server, Oracle, MongoDB).
 * Expertise in architecting cloud data platforms (e.g. Snowflake, Microsoft Synapse, Databricks).
 * Familiarity with reporting and visualization tools (e.g. PowerBI, Tableau, Business Objects).
 * Demonstrated experience delivering data engineering projects in a team setting.
 * Demonstrated ability to communicate clearly and concisely, both orally and in writing, and lead presentations, training courses, and effective meetings.
 * Experience managing service provider relationships (e.g. data engineering consultants, cloud data platform vendors).
 * Experience in the Architecture, Engineering and Construction industry a plus.
 * Relevant data engineering certifications preferred.

Skills and Behaviors:

 * Expertise in data engineering, integration, and data architecture best practices.
 * Knowledge of data modeling, data warehousing, and master data management principles.
 * Ability to design scalable, secure, and reliable data solutions.
 * Proficiency with cloud data platforms, databases, APIs, and ETL/ELT technologies.
 * Strong understanding of data governance, security, privacy, and compliance requirements.
 * Ability to analyze complex technical challenges and implement effective solutions.
 * Experience leading cross-functional initiatives and collaborating with business and technology stakeholders.
 * Commitment to continuous improvement, automation, and technical excellence
 * Proactively embraces and promotes the company's values and culture, including a healthy and safe work environment.

## Description

The Data Engineer is responsible for designing, developing, integrating, and optimizing enterprise data platforms, pipelines, and data models that support reporting, analytics, automation, and AI initiatives. This role directly reports to the Director, Applications and Data Management and routinely interacts with Global IT, Global Business Leads, Global Functional Leads, and Project Management.
Responsibilities:

 * Establish and assess organizational data management requirements to select and implement suitable data platform technologies.
 * Lead the design of robust, scalable, and efficient data pipelines, setting the example for data architecture and engineering standards across various data sources.
 * Establish best practices for data quality and security to drive enterprise data integration strategies.
 * Collaborate with infrastructure and cybersecurity teams to architect and secure the data infrastructure.
 * Work closely with data analysts and business stakeholders to understand data needs, provide clean and reliable datasets, and support machine learning and analytics initiatives.
 * Establish and optimize data systems for performance, scalability, and cost-efficiency; troubleshoot and resolve data pipeline issues in a timely manner.
 * Design and implement data models (e.g., star schema, dimensional models) to support reporting and analytics requirements.
 * Automate repetitive data processes to improve efficiency and reduce manual intervention.
 * Create and maintain detailed documentation for data pipelines, processes, and system architectures.
 * Serve as a key advisor on data governance, regulatory compliance, data stewardship, and risk management practices.
 * Provide technical leadership across multiple initiatives and influence larger, long-term projects.