Hybrid Staff Data Engineer

A fast-growing, profitable technology company in Chicago is hiring a full-time backend-focused engineer to help scale its data and platform infrastructure. This role sits at the intersection of data engineering and software development, leveraging modern cloud tools including Azure Databricks, Node.js, and React to support high-volume analytics and automation systems. This is an opportunity to join a product-driven organization where engineering decisions directly influence business outcomes. The company builds technology used by national brands and rapidly growing businesses, and they are investing heavily in data, automation, and platform scalability.

This position is ideal for engineers who enjoy working across systems instead of staying in a single lane. You'll help design and build data pipelines, backend services, and core platform capabilities while collaborating closely with technical leadership. The team values clean architecture, performance, and thoughtful engineering, not just shipping code. You'll gain exposure to real-world scale, executive-level visibility, and the chance to influence how data and software systems evolve together.

• Strong backend engineering experience with Node.js or similar frameworks
• Hands-on experience building or supporting data pipelines and analytics systems
• Experience with Azure cloud infrastructure
• Proficiency in SQL and at least one scripting language (Python preferred)
• Ability to work across teams and own systems end-to-end

Desired Skills & Experience

• Experience with Azure Databricks or large-scale data platforms
• Exposure to frontend frameworks such as React
• Familiarity with ETL tools, analytics infrastructure, or ad tech platforms
• Experience mentoring engineers or influencing technical standards