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. This role will be the first dedicated data engineering hire, responsible for defining how data systems are built and scaled across the organization.

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)