Senior Data Engineer

• No 3rd party candidates
• Must be a US Citizen
• Technology - dbt, Snowflake, SQL, Python, Fivetran, Power BI

Senior Data Engineer is responsible for designing, developing, optimizing, and maintaining scalable data pipelines, transformation workflows, and data models that support enterprise reporting, analytics, operational intelligence, and AI-enabled initiatives across the organization.

This role operates as a fully independent technical contributor with increasing ownership over enterprise data engineering initiatives, platform reliability, and analytics engineering workflows. The Senior Data Engineer contributes directly to the organization’s modern data platform while partnering closely with Data & Analytics leadership, Engineering, AI & Machine Learning, Business Systems, Operations, and Finance teams to ensure data solutions are scalable, accurate, reliable, and aligned with business priorities.

The Senior Data Engineer is expected to contribute to architecture discussions, optimize data workflows, improve reporting scalability, and support modern analytics engineering practices while mentoring junior engineers and helping improve operational maturity within the data environment.

Required Experience:

• 5+ years of experience in data engineering, analytics engineering, business intelligence, or related technical roles
• Strong hands-on experience building and maintaining ETL/ELT pipelines and modern data workflows
• Advanced SQL proficiency and experience with dbt or similar transformation frameworks
• Experience working with Snowflake or similar cloud-native data platforms
• Strong understanding of data modeling, analytics engineering, and enterprise reporting concepts