Data Engineer

AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. They are looking for a Data Engineer to help scale their internal data and automation capabilities within a Microsoft Azure environment, focusing on building and maintaining data pipelines, improving reporting datasets, and developing internal tools that support operational pricing and reporting decisions.

Responsibilities:

• Build, maintain, and optimize ETL/ELT pipelines using Azure services
• Work with data across Azure SQL, Blob Storage, and related services
• Ensure data quality, reliability, and performance through monitoring and troubleshooting
• Implement data validation and testing (e.g., data quality checks, unit/integration tests) to ensure correctness and maintainability
• Develop and maintain clean, reliable datasets for reporting and analytics
• Collaborate on data models that support business metrics and dashboards
• Write and optimize complex SQL queries for performance and clarity
• Build Python-based scripts and services to automate internal workflows
• Integrate with external APIs and internal systems
• Reduce manual processes through automation
• Execute against defined architecture and technical direction
• Contribute to solution design
• Communicate progress, blockers, and improvements clearly

Requirements:

• 3-5 years of experience in data engineering or similar role
• Ability to work independently on well-scoped problems with minimal guidance
• Strong SQL skills (advanced querying, performance tuning, data transformations)
• Proficiency in Python for data processing and automation
• Experience writing maintainable, testable Python code
• Experience using Git for version control (e.g., GitHub), including branching and pull request workflows
• Hands-on experience with Azure data services, including: Azure SQL Database or SQL Server, Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar), Azure Blob Storage or Data Lake
• Experience building and maintaining ETL/ELT pipelines
• Experience working with large, structured datasets
• Valid driver's license with acceptable driving record
• Ability to pass a background check
• Authorized to work in the United States
• Requirement of Multi-Factor Authentication apps on cell phone
• Familiarity with data modeling for analytics and reporting
• Experience integrating with REST APIs and external data sources
• Understanding of CI/CD practices and tooling (Azure DevOps preferred)
• Experience optimizing data workflows for cost and performance in Azure
• Experience supporting Power BI through well-structured datasets and optimized data models
• Proficiency with Excel for data analysis, validation, and ad hoc reporting
• Experience with observability and monitoring (e.g., logging, metrics, alerting in Azure)