Dealership:Lithia & Driveway | Data EngineerThe
Data Engineer is responsible for developing, implementing, and supporting scalable data pipelines and workflows across cloud platforms. This role focuses on designing, building, and optimizing ETL/ELT processes using Azure Data Factory, Azure Synapse, Snowflake, and related technologies, with an emphasis on automation, performance, and data quality.
Working closely with Data Architects, Analysts, and cross-functional teams, the Data Engineer ensures reliable data ingestion, transformation, and accessibility to support enterprise reporting and analytics. This role also contributes to the migration of on-premises SQL Server data solutions to modern cloud-based environments.
Location: Remote (PST work hours, preferred)
Compensation Range: $80,000-$115,000, with a typical starting range of $80,000-$110,000. Actual pay may vary based on skills, experience, job-related knowledge, and location. Final compensation will be determined during the interview process in accordance with applicable pay equity and transparency laws.
What You'll Do- 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
What You'll Bring- 2+ years of experience in data engineering, analytics, or a related field
- Strong SQL expertise, including query optimization, complex joins, and stored procedures
- Experience designing and building data pipelines in cloud environments (Azure Data Factory, Synapse, ADLS, etc.)
- 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
Preferred- Exposure to Python for data processing, automation, or scripting
- Experience with tools such as Databricks, Postgres, DBT, or similar
- Familiarity with AI-enabled development tools (e.g., Claude Code, Cortex, Copilot)
We offer a comprehensive benefits package designed to support you and your family, including: - 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
For a more detailed view, visit: www.totalrewards.lithiadriveway.com.
