Senior Data Engineer

Do you like using your IT skills to solve complex problems in a highly collaborative environment? Join the UFP Industries' IT team where you will be integral to the continuous improvement of our company.

General Summary

UFP Industries is seeking a Sr Data Engineer to assist in building tools and processes to bring data together to drive business decisions and efficiencies. The ideal candidate in this role has considerable experience with data engineering projects for a large-scale operation. This individual will be able to assist us in bringing our out-of-date OLAP data architecture to the next level, and develop tooling to help us solve critical business problems. This position is a full-time, onsite position, based out of Grand Rapids, MI and is NOT a remote position.

Principal Duties and Responsibilities

• Builds data pipelines which acquire, cleanse, transform and publish data from a wide variety of structured and unstructured data sources.
• Assembles complex data sets which meets functional and non-functional business requirements.
• Partners with developers, IT infrastructure, and IT leadership to ensure technical solutions provide accurate, performant, and reliable data.
• Contribute to and leverage coding standards and best practices to ensure efficient and re-usable services and components.
• Identify, document, design, and implement internal process improvements.
• Design, develop, and maintain both the front-end and back-end components of web applications using .NET, C#, and modern front-end frameworks.
• Collaborate with developers and product owners to define project requirements and deliverables.
• Troubleshoot and debug full-stack applications across multiple layers to ensure performance, reliability, and scalability.
• Write clean, maintainable, and efficient code, following industry best practices.
• Participate in code reviews and contribute to improving development processes.
• Stay up to date with the latest technologies, industry trends, and best practices, ensuring our solutions remain innovative and cutting-edge.

Job Specifications

Knowledge

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of professional experience contributing to data modeling or architecture
• Strong data analysis and debugging skills
• Proven experience in Python/PySpark, SQL/SparkSQL programming skills
• Has experience working with C# and OOP
• Preferred 7+ years of experience building enterprise-grade data processing systems.
• Preferred Databricks Professional level certification

Skills and abilities

• Proven ability to deliver high-quality web applications on time.
• Proficient in the use of the English language in reading, writing and speaking.
• Ability to successfully interact and communicate with all organizational levels.
• Ability to learn new software applications and varied technologies quickly.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Logical, process-oriented nature.
• Ability to identify and pursue opportunities for improvement in business processes.

Conduct

• Self-managing; works well under little supervision.
• Highly motivated and enthusiastic.
• Good interpersonal skills and good communicator.
• Strong organizational skills and detail oriented.
• Team player who supports the Company's goals.
• Conducts self in a professional manner.
• Ability to pass a drug test.

Working Conditions

Working environment is generally favorable. Requires sitting at a desk for long periods of time. Some traveling is required.

Disclaimer Statement

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

"UFP Industries and its subsidiaries and affiliates are equal opportunity employers. All qualified candidates will receive consideration without regard to race, color, religion, sex or national origin"