Analytics Engineer: Data Modeling & Databricks (Hybrid)

Shaw Contract EMEA; Dalton (GA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Shaw Industries Group, Inc. is seeking an Analytics Engineer in Dalton, GA to join the Residential Enablement and Insights team. You’ll design scalable data models and pipelines that fuel dashboards in Power BI and analytics across Sales and Marketing.

Expect a hybrid schedule with 1–3 days in Dalton, GA and collaboration across data engineering and business teams. The role blends business strategy with advanced analytics, emphasizing data self-service, data modeling, and modern analytics

Qualifications

• Experience delivering analytics solutions with Power BI, Databricks and data modeling practices.
• Strong SQL skills to query and transform data for analytics.
• Bachelor's degree in CS, data analytics, information systems or related field.

Responsibilities

• Partner with stakeholders to translate needs into scalable data models and analytics.
• Design and maintain semantic layers, star schemas, and data marts for self-service analytics.
• Build data pipelines in modern platforms, transform data into analytics-ready datasets.
• Ensure data quality, governance, and performance with cross-functional teams.
• Share knowledge and contribute to analytics best practices and documentation.

Skills

Power BI (DAX & Power Query)

Databricks

SQL querying

Python or R for data tasks

Git / version control

Azure Data Lake / data lake concepts

Data modeling & star schemas

Data governance & security (row-level)

Education

Bachelor's degree in CS / Data Analytics / IS / related field

Tools

Power BI

Databricks

Azure

Job description

Shaw Industries Group, Inc. is seeking an Analytics Engineer in Dalton, GA to join the Residential Enablement and Insights team. You’ll design scalable data models and pipelines that fuel dashboards in Power BI and analytics across Sales and Marketing.

Expect a hybrid schedule with 1–3 days in Dalton, GA and collaboration across data engineering and business teams. The role blends business strategy with advanced analytics, emphasizing data self-service, data modeling, and modern analytics