Snowflake Data Engineer — Cloud ETL & Data Pipelines

LaneHelp; Eugene (OR); On-site; USD 80,000 - 115,000; Full time

Benefits offered by this job

Competitive pay

Medical/Dental/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

Job summary

Lithia & Driveway is seeking a Data Engineer to design, build, and optimize scalable ETL/ELT pipelines across Azure and Snowflake. You will migrate on-prem SQL Server processes to cloud solutions, and ensure data quality for enterprise reporting and analytics.

The role requires 2+ years in data engineering, strong SQL, and hands-on cloud data tooling (Azure Data Factory, Synapse, ADLS, Snowflake). Oregon-based location preferred with up to 15% travel.

Qualifications

• 2+ years of experience in data engineering or a related field.
• Strong SQL expertise, including query optimization and stored procedures.
• Experience designing and building data pipelines in cloud environments (Azure Data Factory, Synapse, ADLS).
• Hands-on experience with Snowflake (data loading, transformation, performance tuning).
• Solid understanding of ETL/ELT processes and data warehousing concepts.
• Experience with version control (Git/TFS) and CI/CD practices.
• Strong attention to detail with the ability to manage multiple priorities.
• Effective communication and collaboration skills in a cross-functional environment.

Responsibilities

• Design and implement scalable data ingestion and transformation processes into Snowflake and downstream platforms.
• Migrate on-prem SQL Server data processes to Azure-based solutions to improve performance and scalability.
• Build and maintain ETL/ELT pipelines using Azure Data Factory and related tools.
• Develop, test, and optimize SQL scripts, stored procedures, and data pipelines to ensure data accuracy and efficiency.
• Implement monitoring, alerting, and self-healing capabilities to proactively resolve data pipeline issues.
• Partner with business stakeholders and cross-functional teams to deliver data integration and MDM solutions.
• Apply data standards, governance practices, and thorough documentation across all workflows.
• Support CI/CD processes to improve deployment, automation, and code quality.
• Mentor junior team members and contribute to continuous improvement of engineering practices.
• Participate in a Tier-3 on-call rotation to support production systems.

Skills

2+ years data engineering

Strong SQL

CI/CD practices

Cross-functional collaboration

Attention to detail

Tools

Azure Data Factory

Azure Synapse

ADLS

Snowflake

Git/TFS

Job description

Lithia & Driveway is seeking a Data Engineer to design, build, and optimize scalable ETL/ELT pipelines across Azure and Snowflake. You will migrate on-prem SQL Server processes to cloud solutions, and ensure data quality for enterprise reporting and analytics.

The role requires 2+ years in data engineering, strong SQL, and hands-on cloud data tooling (Azure Data Factory, Synapse, ADLS, Snowflake). Oregon-based location preferred with up to 15% travel.