Snowflake Data Engineer

We are seeking a hands-on Snowflake & Data Engineering Specialist to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.

Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.

We’re particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren’t afraid to roll up their sleeves to solve problems.

What You’ll Do

• Design, build, and maintain scalable data pipelines in Snowflake
• Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions
• Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms
• Develop and optimize ETL/ELT processes to support analytics and business operations
• Partner directly with business stakeholders to understand data needs and deliver solutions
• Monitor, troubleshoot, and improve existing data integration processes
• Create and maintain data models, transformations, and data quality processes
• Support reporting, analytics, and downstream data consumers
• Participate in architecture discussions and help shape the company’s long-term data strategy
• Contribute wherever needed as part of a collaborative, high-impact team

• 5+ years of experience in Data Engineering, ETL Development, or related roles
• Strong hands-on experience with Snowflake
• Advanced SQL development and query optimization skills
• Experience building and supporting end-to-end data ingestion pipelines
• Proven experience designing, developing, and maintaining ETL/ELT solutions
• Experience migrating or modernizing legacy data integration platforms, including SSIS
• Strong understanding of data warehousing concepts and dimensional modeling
• Experience integrating data from multiple internal and external sources
• Ability to troubleshoot complex data issues and improve pipeline performance
• Strong communication and stakeholder management skills

Ideal Background

• Experience working in a small or mid-sized company environment
• Someone who enjoys variety rather than specialization
• Comfortable owning projects from requirements gathering through deployment and support
• Has personally built and maintained data ingestion processes, not just supported them
• Self-starter who can operate with minimal bureaucracy and high autonomy
• Enjoys being a key contributor on a lean, collaborative team

Nice to Have

• Experience with cloud data platforms and modern ETL tools
• Python or scripting experience
• Experience with APIs and third-party data integrations
• Exposure to data visualization and reporting platforms
• Knowledge of data governance and data quality best practices

Why Join Us?

• Broad ownership and visibility across the data function
• Opportunity to help modernize the organization’s data platform
• Small team where your contributions have immediate impact
• Exposure to architecture, engineering, analytics, and business-facing projects
• A role for someone who enjoys solving a variety of data challenges rather than being siloed into a single specialty

If you’re the type of data professional who enjoys building pipelines one day, optimizing Snowflake the next, and partnering with the business to solve complex data problems, we’d love to hear from you.

Full health, vision & dental benefits

$95,000 - $120,000 salary

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