[Hiring] Snowflake Data Engineer @Lithia & Driveway

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Role Description

The Data Engineer plays a critical role in building and maintaining the data foundation that supports analytics, reporting, and business decision-making. This position is responsible for developing, implementing, and supporting scalable data pipelines and managing data engineering workflows across modern cloud platforms.
• Design and implement data ingestion and transformation processes to load data from disparate source systems into Snowflake and downstream data platforms to enable reliable enterprise reporting and analytics.
• Migrate existing on-premises SQL Server data processes and datasets to Azure-based solutions to improve scalability, performance, and long-term maintainability.
• Integrate Azure Data Factory with Snowflake for automated data extraction, transformation, and loading processes.
• Develop, test, and maintain SQL scripts, stored procedures, and data pipelines to ensure accurate, timely, and efficient data processing.
• Ensure data is created, structured, and maintained according to established standards and documentation requirements to support data governance and usability.
• Build and configure end-to-end telemetry, alerting, and self-healing capabilities to proactively identify and resolve data pipeline issues.
• Collaborate with business stakeholders to understand requirements and translate them into effective data integration and MDM solutions.
• Implement CI/CD pipelines for data engineering projects to enhance deployment and automation capabilities.
• Ensure thorough documentation and compliance with data standards across all processes.
• Mentor and support junior team members through knowledge sharing, technical guidance, and code reviews to strengthen team capability and consistency.
• Strive for continuous improvement of code quality and development practices.
• Participate as part of a Tier-3 on-call rotation to support team-built software.

Qualifications
• 1+ year of experience in analytics or data engineering, working closely with cross-functional teams.
• 2+ years of experience in SQL Server development or equivalent SQL-based data engineering environments.

Requirements
• Working knowledge of cloud-based data platforms and modern data pipeline design principles, including Azure Data Services: Azure Data Factory, Synapse, Functions, Logic Apps, ADLS, and Blob Storage.
• Development & Integration Tools: SSMS, Visual Studio, Azure DevOps.
• Data Platforms & Engineering Tools: Snowflake, Databricks, and DBT.
• Proficiency in Snowflake development, including stored procedures, UDFs, query performance tuning, and Snowpipe configuration.
• Strong SQL development skills, including query optimization and stored procedure design.
• Solid understanding of ETL/ELT processes, data integration patterns, and foundational data warehouse concepts.
• Experience supporting and troubleshooting data integrations across cross-functional teams.
• Proficiency with version control systems such as Git or TFS.
• Knowledge of CI/CD pipelines and best practices for data engineering projects.
• Strong attention to detail with the ability to manage multiple priorities and deadlines effectively.
• Excellent communication and collaboration skills.

Benefits
• Competitive pay
• Medical, Dental and Vision Plans
• Paid Holidays & PTO
• Short and Long-Term Disability
• Paid Life Insurance
• 401(k) Retirement Plan
• Employee Stock Purchase Plan
• Lithia Learning Center
• Vehicle Purchase Discounts
• Wellness Programs

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