Fully remote Data Engineer role in Nashville, TN (remote) with a salary range of USD 120,000–130,000 per year.

Manage day-to-day operations of the data warehouse to ensure reliable access to trusted data.
Design, construct, and continuously refine data pipelines that move and transform data efficiently across multiple platforms.
Build engineering solutions using Python, Apache Spark, and Databricks to support large-scale processing and analytics workloads.
Create and maintain SQL structures and workflows to improve data quality, accessibility, and consistency.
Apply data modeling principles to organize datasets for reporting, analysis, and downstream applications.
Collaborate with cross-functional teams to capture integration requirements and deliver scalable data solutions aligned with business priorities.
Support cloud based data movement and orchestration, including Azure Data Factory initiatives when needed.
Prepare well-structured datasets to enable reporting and visualization in Power BI, Tableau, or Looker.
Demonstrate a strong background in SQL and data warehouse support, including writing and tuning complex queries.
Acquire hands-on experience with Apache Spark and Azure Databricks for distributed data processing.
Show understanding of data modeling concepts and the ability to structure datasets for analytical use.
Maintain familiarity with visualization tools such as Power BI, Tableau, or Looker.
Operate effectively within Azure based data ecosystems with Microsoft SQL technologies.
C# exposure is a plus but not required.

Extensive data engineering experience with substantial hands-on Python in production environments.
Proven SQL and data warehouse support background, including crafting and optimizing complex queries.
Hands-on experience with Apache Spark and Azure Databricks for distributed processing.
Solid knowledge of data modeling concepts and the ability to shape datasets for analysis.
Familiarity with cloud-based data integration tools, including exposure to Azure Data Factory.
Working knowledge of visualization platforms such as Power BI, Tableau, or Looker.
Experience with Microsoft SQL technologies and comfort operating in Azure based data ecosystems.
C# exposure is a plus but not required.

Data Engineer

Job Description