Senior Data Engineer

Sherwin-Williams offers a Senior Data Engineer role in a remote setup, with a competitive salary range of USD 116,671 to 150,593 per year. You will help design and scale the data engineering systems that support collecting, storing, processing, and analyzing large volumes of data. The position is also eligible for a performance-based bonus according to the company’s applicable plans.

In this role, you will work with an inclusive team and contribute to projects that improve data flow across systems and support data-driven decisions across the business.

Benefits

• Health and well-being: Life… with rewards, benefits, and flexibility to enhance your health.
• Growth: Career… with opportunities to learn, develop new skills, and grow your contribution.
• Community: Connection… with an inclusive team and commitment to communities.
• World-class benefits: A wide range of benefits covering retirement, health care, total well-being, and your daily commute.

Responsibilities

• Partner with a team of data engineers by providing technical guidance, mentorship, and support.
• Serve as a technical point of contact for clients and stakeholders by providing updates and addressing data-related technical questions or concerns.
• Design, develop, and maintain efficient, robust data pipelines, ETL processes, and data workflows.
• Develop and maintain data models and schema designs to support storage and retrieval needs.
• Optimize data storage, processing, and retrieval mechanisms for performance and scalability.
• Provide technical leadership for selecting and implementing data engineering tools and technologies.
• Identify and implement best practices and standards for data engineering processes and tools.
• Stay current on emerging technologies and trends in data engineering and evaluate their potential impact on the data infrastructure.
• Collaborate cross-functionally to integrate data sources and enable seamless data flow across systems and with data scientists, analysts, and stakeholders to understand data requirements and develop scalable solutions.
• Implement and maintain data governance and security measures to protect sensitive information and ensure data quality and integrity through effective data validation and cleansing.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or Information Technology; or in lieu of a degree, at least 7 years of experience in data engineering.
• 4+ years of data engineering experience.
• 2+ years with SQL, including PostgreSQL, T-SQL, PL/SQL, and SNOWSQL (as applicable).
• 2+ years building applications, system integrations, and web services.
• 2+ years server-side scripting and programming in a Linux environment (primarily bash shell).
• Advanced understanding of database technologies such as Oracle and Snowflake, including performance, tuning, and optimization.
• Advanced data manipulation skills, including experience with on-prem and cloud-based data warehouse ETL tools and processes.
• Basic understanding of business processes such as OTC, P2P, and PIM to understand context of data usage.
• Must be at least 18 years of age.
• Must be legally authorized to work in the country of employment without needing sponsorship for current or future employment work visa status.

Technologies

• SQL, PostgreSQL, T-SQL, PL/SQL, SNOWSQL
• Oracle, Snowflake
• Linux, bash shell

Location: Cleveland, OH (remote)