Data Engineer

Company Overview
Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $6 billion in annual sales and 18,000 associates worldwide.

Job Summary

We are looking for a data engineer to join our enterprise analytics team! This individual will partner with data scientists, analysts and product owners to support data science projects and initiatives across the enterprise – including in our manufacturing, planning/forecasting and customer service areas.

Applicant must be an experienced data pipeline builder who enjoys building solutions from the ground up. We are looking for someone who is self-directed and comfortable supporting the data needs of multiple teams and projects.

Responsibilities:

• Partner with data scientists, data analysts, data stewards and product owners to understand data needs and develop solutions
• Design, build, launch and maintain efficient and reliable data pipelines to support data analysis and machine learning models
• Define and manage standards, guidelines and processes to ensure data quality
• Assemble large, complex datasets based on business requirements
• Identify and deploy various methods and techniques for optimal extraction, transformation and loading of data from a wide variety of data sources
• Help build and maintain best practices for our data engineering strategy – identifying and addressing gaps in existing processes and solutions

Minimum Qualifications:

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering) or a related quantitative field or equivalent work experience is required.
• At least 4-6 years of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• Expert SQL programming skills
• Expertise in at least one relevant object-oriented programming language (e.g., Python, Scala)
• Experience building and optimizing data pipelines, architectures and data sets
• Experience with big data tools (Spark, Kafka, etc.)
• Experience in data warehousing and data modeling
• Good knowledge of data management, data integration, and database development techniques with a good understanding of data architecture principles
• Strong analytical and problem solving skills
• Ability to communicate across all levels of the organization and work with diverse project teams
• Experience using cloud-based infrastructure such as Azure and AWS
• Experience in DevOps best practices including CI/CD, process automation and optimization

Preferred Qualifications:

• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience working in an Agile environment

Job Type: Full-time

Pay: $99,000.00 - $123,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off

Application Question(s):

• Please confirm that you have 4–6 years of professional, post-academic experience in data management disciplines, including data integration, data modeling, data optimization, and data quality.
• Do you currently, or will you potentially in the future, require the company, Shaw Industries Group, to sponsor an employment-based visa (e.g., H-1B, employment-based green card, etc.) to employ you? 

Note: If you are currently on OPT, STEM OPT, EAD OPT, TN visa, F-1 visa, or a similar/another visa status, please answer 'Yes'.

• Are in or around the following areas of GA, TN, AL?
• Please elobrate on your experience related to Snowflake, Data Platform, Data Lakehouse, PySpark, Spark SQL, ML Flow, Lakehouse, Delta Lake, Unity Catalog, Medallion Architecture, and or Kafka.

Work Location: Hybrid remote in Dalton, GA 30721

Salary : $99,000 - $123,000