Senior Data Engineer

Responsibilities

• Design, develop, and maintain scalable backend systems using Node.js.
• Ensure platform reliability, performance, and scalability under high traffic and complex workflows.
• Define and manage cloud infrastructure programmatically using infrastructure-as-code tools.
• Build scalable, repeatable, and maintainable cloud environments.
• Design and implement scalable batch and event-driven data pipelines.
• Handle data ingestion, transformation, and analysis to support platform optimization.
• Build and manage data warehouses or lakehouses with a focus on accuracy, performance, and cost efficiency.
• Leverage AWS services to build and operate serverless data pipelines.
• Ensure efficient orchestration and monitoring of data workflows.
• Collaborate closely with product, data science, and front-end teams to deliver high-quality solutions.
• Advocate for and implement best practices in code quality, testing, and deployment.
• Troubleshoot complex technical issues and contribute to platform robustness.

Requirements

• 5+ years of experience in software development with a strong focus on backend engineering.
• Proven experience building scalable data pipelines and data systems.
• Hands-on experience with cloud-based architectures and data platforms.
• Proficiency in a modern object-oriented programming language, with the ability to ramp quickly on Node.js.
• Strong experience with AWS services, including serverless and data-related tools.
• Experience with infrastructure-as-code tools.
• Strong understanding of data ingestion, transformation, and data warehousing concepts.
• Experience with Databricks is preferred.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Experience with Databricks

Benefits

About the Company

Our client is a fast-growing startup transforming how brands, retailers, and employees connect through an innovative technology platform. By leveraging modern data and cloud technologies, they enable retail teams with data-driven insights and help consumer brands scale effectively across complex CPG verticals such as beauty, outdoor gear, and legal cannabis.