Data Engineer

Background Requirements:

Background in top-tier financial or analytics-driven companies is a plus

Tech Environment Includes:

• TypeScript (React.js / Node.js)
• Python & Java
• AWS Cloud Infrastructure
• Modular Monolith Architecture
• Big Data Tools (Spark, EMR, Lambda)

Preferred Skills:

Proficiency in Python (preferred), with experience in other languages like Java, Scala, or TypeScript

Strong knowledge of cloud-based big data tools (AWS, Spark, EMR, Lambda, etc.)

Excellent communication and problem-solving skills

Responsibilities Include:

Driving evolution of the company's data platform as it scales beyond MVP

Building and maintaining scalable data pipelines using Python, Java, Spark, SQL, and more

Partnering with cross-functional teams (Product, Finance, Ops, Customer Success) to deliver actionable insights

Data Engineer

High-Growth Tech Scale-Up | Strategic + Hands-On Role

An exciting opportunity has opened up with a rapidly scaling tech company that's investing heavily in its data infrastructure. They are seeking an experienced Data Engineer to take the lead on evolving...