Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Building and maintaining scalable streaming and batch data pipelines within an AWS-based ecosystem with an accent on Kafka, Spark, and Airflow orchestration. Focus on ensuring high data reliability, optimizing performance for real-time ingestion, and supporting enterprise-level analytics and reporting systems.

Location: Hybrid role requiring in-office presence in Atlanta, Georgia (Open to relocation)

Company

A leading FinTech holding company providing in-store and e-commerce lease-to-own solutions and employee purchase programs.

What you will do

• Develop and maintain streaming and batch data pipelines using Kafka, Spark, and PySpark.
• Implement ingestion pipelines using Kafka Connect and CDC patterns.
• Build and maintain Airflow DAGs for workflow orchestration.
• Ensure data quality through validation, monitoring, and alerting practices.
• Collaborate with analytics teams to support BI and data delivery needs.
• Monitor pipeline performance and contribute to system optimization and incident resolution.

Requirements

• 3–5+ years of experience in data engineering or distributed data systems.
• Hands-on experience with Spark/PySpark and Kafka.
• Strong SQL skills and experience with data transformation.
• Familiarity with AWS-based data environments.
• Experience with data orchestration tools like Apache Airflow.
• Must be able to work in a hybrid model in Atlanta, GA.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with company contributions.
• Flexible Paid Time Off policy.
• Career development and growth opportunities.
• Collaborative environment focused on innovation and integrity.