Data Engineer

Veem

14h•Remote

About The Position

Veem is transforming how businesses move money globally. Traditional cross-border payments are slow, expensive, and opaque—we’re changing that by building a seamless, transparent, and scalable platform that empowers businesses to pay and get paid anywhere in the world. Our platform combines global payments, FX optimization, and embedded financial solutions to help partners and their customers unlock new growth opportunities. From SMBs to large platforms, companies rely on Veem to simplify operations and expand internationally with confidence. But what truly sets Veem apart is our partner-first approach . We don’t just provide payments infrastructure—we collaborate closely with partners to drive mutual growth, unlock revenue streams, and deliver real business impact. At Veem, you’re not just joining a fintech company—you’re helping redefine the future of global commerce. Role Overview We’re looking for a technically strong Data Engineer to help alleviate a capacity bottleneck within a small, high-impact data team. This is not a greenfield build role—the core data infrastructure is already in place and functioning. Instead, the focus is on maintaining, optimizing, and incrementally improving existing systems. This role is ideal for someone who enjoys working on the backend of data systems, is detail-oriented, and can quickly take ownership of ongoing data operations with minimal direction.

Requirements

1–4 years of experience in a data engineering or similar role
Strong proficiency in SQL and Python
Hands on experience with the required technologies (Snowflake, Looker)
Comfortable working in a maintenance and optimization-focused environment
Able to quickly understand existing systems and contribute with minimal ramp-up
Detail-oriented with strong problem-solving skills
Motivated to grow into increased ownership over time

Responsibilities

Maintain and optimize existing data pipelines and infrastructure within Snowflake
Troubleshoot and resolve issues with data pipelines and reporting systems
Build and update reports (e.g., compliance, partner billing) using Looker
Develop and refine SQL queries and Python scripts to support data workflows
Create and maintain specific data views based on internal requests
Ensure data accuracy, reliability, and performance across systems
Collaborate closely with the existing data engineer to support continuity and improvements