Data Engineer Data Modeler – Payments Subsystem

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role: Data Engineer / Data Modeler Payments Subsystem

location : Atlanta GA (Hybrid)

Type: Contract

Position Summary:

We are looking for an experienced Data Engineer / Data Modeler to join our banking technology team with a focus on the payment subsystem.
The role involves designing developing and maintaining scalable data pipelines and models to support real-time and batch payment processing settlement reconciliation and regulatory reporting.
The ideal candidate will have strong expertise in data modeling ETL development cloud data platforms and modern data engineering practices.

Key Responsibilities:

Design and implement logical and physical data models for the payments domain (merchant onboarding transactions clearing settlement funding fraud/risk reporting).
Develop ETL/ELT pipelines to integrate data from core banking systems payment gateways and external partners into enterprise data stores.
Ensure data quality lineage and governance across payment processing flows.
Build and optimize data warehouses/lakes on cloud platforms (AWS or Azure).
Collaborate with architects developers and business analysts to map payment business processes into data models and schemas.
Implement real-time and batch data integration for use cases such as fraud detection reconciliations settlement reporting and regulatory compliance.
Monitor and tune pipelines for scalability performance and cost efficiency.
Partner with security and compliance teams to enforce data privacy and regulatory requirements (PCI-DSS SOX AML/KYC).

Required Qualifications:

Bachelors degree in computer science Information Systems or related field (or equivalent experience).
7 years of data engineering / data modeling experience in financial services or banking.
7 years of Strong knowledge of payments domain concepts (Auth clearing settlement reconciliation chargebacks fraud).
7 years of Hands-on experience with data modeling (3NF star/snowflake schemas dimensional modeling).
7 years of Proficiency with SQL and at least one ETL/ELT tool (DataStage Informatica Talend dbt).
7 years of Strong experience with cloud data platforms (AWS Redshift Azure Synapse Snowflake Databricks).
7 years of Proficiency in a programming language such as Python for data processing and automation.
7 years of Experience with real-time streaming (Kafka Kinesis Event Hub) and batch data pipelines.
7 years of Familiarity with version control (Git) and CI/CD pipelines.

Preferred Skills:

Knowledge of regulatory and compliance requirements in payments/banking.
Understanding of API-based integration for payment systems.

Role: Data Engineer / Data Modeler Payments Subsystem location : Atlanta GA (Hybrid) Type: Contract Position Summary: We are looking for an experienced Data Engineer / Data Modeler to join our banking technology team with a focus on the payment subsystem. The role involves designing developin...