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Snowflake Data Engineer

Lithia & Driveway Open
Lithia Innovation Hub, Tigard, OR 97223 Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Lithia & Driveway. Lithia Innovation Hub, Tigard, OR 97223 · full-time.

In listing Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationLithia Innovation Hub, Tigard, OR 97223
EmploymentFull-time
PostedSep 10, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build Snowflake ingestion and transformation workflows, then connect the resulting data to downstream platforms
  • Move existing SQL Server data processes into Azure to improve speed and capacity
  • Create and tune Azure Data Factory pipelines, SQL scripts and stored procedures for reliable data
  • Add monitoring, alerts and automated recovery to catch pipeline problems before they disrupt production
  • Support data integrations and MDM, maintain governance documentation, and take part in deployment and on-call work

What you bring

  • At least two years in data engineering, analytics or a related discipline
  • Strong SQL skills, including tuning queries, working with complex joins and writing stored procedures
  • Hands-on experience building cloud data pipelines and using Snowflake for loading, transformation or performance tuning
  • Knowledge of ETL/ELT and data warehousing, plus experience with Git or TFS and CI/CD practices

Who this fits

This mid-level role suits someone who can build cloud data pipelines and handle production support, including a Tier-3 on-call rotation. The preferred locations are Oregon, Seattle, Dallas or Denver, and travel can reach fifteen percent. You must already be authorized to work in the United States without employer sponsorship.

From the employer

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.