Lithia

Snowflake Data Engineer

Lithia

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $80,000 - $115,000 per year

Job Level

About the role

  • Design and implement data ingestion and transformation processes to load data from disparate source systems into Snowflake and downstream data platforms
  • 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
  • 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

Requirements

  • 1+ year of experience in analytics or data engineering
  • 2+ years of experience in SQL Server development or equivalent SQL-based data engineering environments
  • Working knowledge of cloud-based data platforms and modern data pipeline design principles
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLSnowflakeAzure Data FactoryETLELTdata pipeline designdata integrationCI/CDquery optimizationstored procedures
Soft Skills
attention to detailcommunicationcollaborationmentoringtechnical guidancecode reviewsproblem-solvingtime managementknowledge sharingstakeholder engagement