Back-End Engineer, Data Platforms

Congrify

Back-End Engineer developing scalable backend services for AI Payments Intelligence platform at Congrify. Collaborating with teams to build data infrastructure and optimize payment processing.

Posted 7/21/2026full-timeRemote • 🇮🇹 ItalyMid-LevelSenior💰 €40,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend software engineering and data engineering, with a strong focus on Python development, AWS cloud services, and building scalable data processing systems. Capable of designing secure APIs and optimizing backend systems for performance and reliability.

Highest-signal resume keywords

Backend Software EngineeringPython DevelopmentAWS ServicesData Pipeline DesignAPI Development

ATS Keywords

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Hard Skills

Backend Software EngineeringPython DevelopmentData EngineeringDatabase DevelopmentData Pipeline DesignETL ProcessesCloud-Native ArchitectureAPI DevelopmentPerformance OptimizationScalability

Soft Skills

Problem-SolvingCollaborationCommunicationAttention to Detail

Tools & Technologies

AWS S3AWS LambdaAWS DynamoDBAWS CognitoAWS SQS

Industry Keywords

AI Payments IntelligencePayment Transaction DataPayment GatewaysAnalyticsCustomer-Facing Reporting

Tech Stack

Tools & technologies

AWSCloudDynamoDBETLPython

About the role

Key responsibilities & impact

Design, build, and maintain scalable backend services for our AI Payments Intelligence platform.
Develop data pipelines, ETL processes, and cloud-native infrastructure that process large volumes of payment transaction data.
Build the backend services that power analytics, dashboards, AI-driven insights, and customer-facing reporting.
Collaborate with enterprise customers to integrate payment data from PSPs, acquirers, and other external systems.
Develop secure, reliable APIs and integration services for payment gateways, reporting APIs, webhooks, and other data sources.
Optimize backend systems for performance, scalability, security, and high availability.
Partner with Product, Data Science, and Engineering teams to design new platform capabilities and contribute to architectural decisions.
Stay current with emerging technologies and contribute to engineering best practices across the platform.

Requirements

What you’ll need

3+ years of experience in backend software engineering, data engineering, or database development.
Strong Python development experience building scalable backend applications and data processing systems.
Hands-on experience with AWS services, including S3, Lambda, DynamoDB, Cognito, SQS, and related cloud technologies.
Experience designing and maintaining data pipelines and cloud-native architectures.
Strong problem-solving skills and the ability to work independently in a collaborative, agile environment.
Excellent communication skills and attention to detail.

Benefits

Comp & perks

Experience with payment data analytics, payment gateways, PSP integrations, or FinTech platforms.
Experience with analytical databases such as ClickHouse or Snowflake.
Experience building AI or machine learning infrastructure and supporting analytics platforms.
Previous experience working in a startup or high-growth technology company.
This is a remote-friendly position.