Snowflake Data Engineer
Lithia & Driveway Highlands Ranch, Colorado, United States · $80K–$115K/yr
Retail Motor Vehicles · 10,001+ employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
The Data Engineer is responsible for designing, implementing, and maintaining scalable ETL/ELT data pipelines using Azure and Snowflake technologies. They will collaborate with cross-functional teams to ensure data quality, support enterprise reporting, and migrate on-premises SQL Server solutions to the cloud.
What they look for
Requirements
Candidates must have at least 2 years of experience in data engineering with strong SQL expertise and hands-on experience in cloud-based data environments. A high school diploma or equivalent is required, and applicants must be authorized to work in the United States without sponsorship.
Benefits
Full description
Dealership:
Lithia & Driveway | Data Engineer
At Lithia & Driveway (NYSE: LAD) our success is fueled by our high performing teams delivering Auto Done Easy for our customers. We create simple, transparent, and convenient customer experiences throughout the vehicle-ownership lifecycle by leveraging our hundreds of store locations and our key adjacencies - Driveway, DFC, and GreenCars. We’ve built a retail model that champions entrepreneurial leadership, Growth Powered by People, and a strategy that creates possibilities and pushes us to reach our potential.
The 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: Ideal candidate to reside in Oregon (Portland, Eugene, Medford), Seattle, Dallas or Denver
Travel: Up to 15% of the time
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.
High School graduate or equivalent, 18 years or older required. We are a drug free workplace. We are committed to equal employment opportunity (regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status). We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
This position is not eligible for visa sponsorship. Candidates must be authorized to work in the United States without the need for employer sponsorship now or in the future.
Similar roles
-
Data Engineer, Temporary
Aviso Wealth Vancouver, British Columbia, Canada · CA$166K–CA$208K/yr
-
Data Engineer
Intercontinental Exchange Holdings, Inc. Hyderabad, Telangana, India
-
Senior Data Engineer
Intercontinental Exchange Holdings, Inc. Atlanta, Kansas, United States
-
Senior Data Engineer
Dysrupit Bangalore, Karnataka, India
-
Data Engineer
Kyndryl Singapore, Singapore
-
Sr Data Engineer - Platform Modernization & Migration
Jobgether Brazil