Software Engineer, Data Infrastructure

About the position

We are looking for an experienced Software Engineer with a passion for building robust and scalable data infrastructure to join our Data Platform team. In this role, you'll design and develop the foundational systems that power the flow of data across the company, enabling fast insights and smarter decisions as we grow. Our mission is to create a platform that turns raw information into actionable intelligence-efficiently, reliably, and at scale. If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk.

Responsibilities

• Design and build resilient systems for real-time data movement, processing, and storage
• Scale data infrastructure to support our rapidly growing business needs
• Unlock actionable insights by enabling seamless access to high-quality, trustworthy data
• Drive innovation in data ingestion, transformation, and delivery across the company
• Establish best practices that balance performance, flexibility, and governance at scale

Requirements

• Has a Bachelor's or Master's degree in Computer Science or a related field
• Has 2+ years engineering experience (2+ years in data infrastructure)
• Has strong programming skills, preferably in Python or Java
• Has expertise with cloud data lakes such as Snowflake or Databricks
• Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
• Is experienced with workflow orchestration systems (e.g. Apache Airflow, Dagster, Prefect)
• Has implemented CDC solutions (e.g. Debezium, Maxwell)
• Has experience with cloud platforms (preferably AWS) and containerization tools (e.g. Docker, Kubernetes)