Senior Data Engineer

Sherwin-Williams is seeking a Senior Data Engineer to design, build, and maintain data engineering systems and infrastructure that support large-scale data collection, storage, processing, and analysis. This remote role focuses on robust ETL and data pipeline development, plus data governance, security, and technical leadership across data engineering tools and integrations.

What you’ll do

• Work with a team of data engineers by providing technical guidance, mentorship, and day-to-day support.
• Serve as a technical point of contact for clients and stakeholders, delivering updates and addressing data-related technical questions or concerns.
• Design, develop, and maintain efficient, reliable data pipelines, ETL processes, and data workflows.
• Develop and maintain data models and schema designs that support data storage and retrieval requirements.
• Optimize data storage, processing, and retrieval to improve performance and scalability.
• Provide technical leadership on selecting and implementing data engineering tools and technologies.
• Identify, implement, and standardize best practices for data engineering processes and tooling.
• Stay current on emerging data engineering technologies and evaluate how they may impact data infrastructure.
• Collaborate with cross-functional teams to integrate data sources and enable smooth data flow across systems, including with data scientists, analysts, and other stakeholders.
• Implement and maintain data governance and security measures, including data validation and cleansing techniques to support data quality and integrity.

Required qualifications

• 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 of SQL experience, including PostgreSQL, T-SQL, PL/SQL, and SNOWSQL.
• 2+ years building applications, system integrations, and web services.
• 2+ years of server-side scripting and programming in a Linux environment, primarily using bash shell.
• Advanced understanding of database technologies including Oracle and Snowflake, with performance, tuning, and optimization experience.
• 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 provide context for 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 employment work visa status now or in the future.

Tools and technologies

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

Location and compensation

Cleveland, OH (remote)

Compensation: USD 116,671 - 150,593 per year.

Benefits and bonus

• Life … with rewards, benefits and the flexibility to enhance your health and well-being.
• Career … with opportunities to learn, develop new skills and grow your contribution.
• Connection … with an inclusive team and commitment to our own and broader communities.
• World-class benefits designed for you, including retirement, health care, total well-being, and your daily commute.

This position is remote. This position is also eligible for bonus based on performance and subject to the terms of the company’s applicable plans.