Sherwin-Williams

Global paint and coatings manufacturer

Data Observability Engineer

Data EngineeringPosted on Nov 12

Full-timeCleveland, OH, USA$96.9k - $123.7k

About the Job

Requirements

A bachelor's degree in Computer Science, Computer Engineering, or Information Technology, or at least three years of data engineering experience in lieu of a degree.
At least two years of data engineering experience.
At least two years of experience with SQL, including PostgreSQL, T-SQL, PL/SQL, or SnowSQL.
At least one year of experience building applications, system integrations, and web services.
At least one year of experience with server-side scripting and programming in a Linux environment, primarily using the Bash shell.
Experience with common database technologies, including Oracle and Snowflake, and with database performance, tuning, and optimization.
Data manipulation skills and experience with on-premises and cloud-based data warehouse ETL tools and processes.
Experience with version control tools and data modeling.
Must be at least 18 years old.
Must be legally authorized to work in the country of employment without requiring employment-visa sponsorship now or in the future.

Responsibilities

Design, build, and maintain systems and infrastructure for collecting, storing, processing, and analyzing large volumes of data.
Collaborate with data scientists, analysts, QA engineers, business process and functional subject matter experts, and other stakeholders to ensure data is accessible, reliable, and secure.
Perform data ingestion, transformation, and integration, and develop data pipelines.
Support data governance to ensure data complies with regulations and policies.
Perform software development and deployment of IT operations to shorten delivery time and time to market for data products, data pipelines, and data warehousing.
Design, develop, and maintain data pipelines, ETL processes, and data workflows.
Develop and maintain data models and schema designs to support data storage and retrieval.
Optimize data storage, processing, and retrieval mechanisms for performance and scalability.
Assist in selecting and implementing data engineering tools and technologies by providing technical leadership and guidance.
Identify and implement best practices and standards for data engineering processes and tools.
Evaluate emerging technologies and trends in data engineering for their potential impact on the data infrastructure.
Collaborate with cross-functional teams to integrate data sources and enable seamless data flow across systems.
Work with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions.
Support the implementation and maintenance of data governance and security measures to protect sensitive information and ensure data quality and integrity, including through data validation and cleansing techniques.
Collaborate with data engineers by seeking and providing technical guidance, mentorship, and support.
Serve as a technical point of contact for clients and stakeholders, providing updates and addressing data-related technical inquiries or concerns.

Desired Qualifications

At least two years of hands-on experience building monitoring, alerting, or observability for data or application pipelines; experience with Splunk, Datadog, Dynatrace, Grafana, Prometheus, or ELK qualifies, and conceptual knowledge is valued over specific tools.
Experience with data quality or data observability frameworks, such as freshness, volume, and schema-drift checks.
Experience with log aggregation and parsing, metrics collection, and dashboard design.

The Data Engineer is responsible for supporting in the designing, building, and maintaining of the systems and infrastructure that enable organizations to collect, store, process, and analyze large volumes of data. This role involves collaborating closely with data scientists, analysts, QA engineers, business process / functional SMEs, and other stakeholders to ensure that data is accessible, reliable, and secure. They are responsible for tasks such as data ingestion, data transformation, data integration, and data pipeline development. Data Engineers also play a crucial part in data governance, ensuring that data is compliant with regulations and policies. This role also includes all aspects of software development and deployment of IT Operations to shorten delivery and time to market for data products and data pipelines and data warehousing. Overall, the incumbent helps organizations leverage their data to gain meaningful insights and make informed decisions.

EDUCATION AND EXPERIENCE

Required

Bachelor’s degree in Computer Science, Computer Engineering, or Information Technology or in lieu of a degree, at least 3 years of experience in data engineering.
2+ years of data engineering experience.
2+ years of experience with SQL including, but not limited to: PostgreSQL, T-SQL, PL/SQL, SNOWSQL
1+ years of experience with building applications, system integrations, and web services
1+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell)
Experience with common database (Oracle, Snowflake) technologies including performance, tuning, and optimization.
Data manipulation skills and experience with on-prem and cloud-based data warehouse ETL tools and processes
Version control tools
Data modeling
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.

Preferred

2+ years of hands-on experience building monitoring, alerting, or observability for data or application pipelines. Experience with any of Splunk, Datadog, Dynatrace, Grafana, Prometheus, or ELK qualifies. We value the concepts over the specific tool.
Experience with data quality or data observability frameworks (for example, freshness, volume, and schema-drift checks).
Experience with log aggregation and parsing, metrics collection, and dashboard design.

Collaborate with a team of data engineers, seeking and providing technical guidance, mentorship, and support

Act as a technical point of contact for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns

Design, develop, and maintain efficient and robust data pipelines, ETL processes, and data workflows

Develop and maintain data models and schema designs to support data storage and retrieval needs

Optimize data storage, processing, and retrieval mechanisms for performance and scalability

Assist in providing technical leadership and guidance in the selection and implementation of data engineering tools and technologies

Identify and implement best practices and standards for data engineering processes and tools

Stay up-to-date with emerging technologies and trends in data engineering, evaluating their potential impact on our data infrastructure

Collaborate with cross-functional teams 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 data solutions

Support in the implementation and maintenance of data governance and security measures to protect sensitive information and to ensure data quality and integrity by implementing effective data validation and cleansing techniques

This position is not hybrid/remote and will be located at our Cleveland Headquarters office.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.

Must be eighteen years or older

Minimum Salary: 96,949.84

Maximum Salary: 123,699.93

About the Company

Sherwin-Williams

Global paint and coatings manufacturer

Sherwin-Williams makes paints and coatings for professional, industrial, commercial, and consumer customers. It sells branded and private-label coatings for architectural, industrial, packaging, and transportation markets, distributed through more than 5,000 company-operated stores and facilities and supplying engineered coatings to over 120 countries. Its products protect and decorate surfaces in buildings, manufacturing, packaging, and transportation, and are supported by digital access and strong customer service. The company aims to maintain leadership in the paint and coatings industry by delivering high-quality products, expanding globally, and maintaining reliable access to its solutions through partnerships.

Company size: 10,001+
Company stage: IPO
Headquarters: Cleveland, OH
Founded: 1866

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