Snowflake Data Engineer
About The Position
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.
Requirements
- 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
- High School graduate or equivalent, 18 years or older required.
Nice To Haves
- 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)
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
High school or GED
