Python Developer (Ex capital one)

Overview

On Site

Depends on Experience

Contract - W2

Contract - 12 Month(s)

Able to Provide Sponsorship

Skills

ACH

API

Agile

Amazon Kinesis

Amazon Lambda

Amazon Redshift

Amazon Web Services

Job Details

Hi All,

Hope you all are doing great

Candidates who work on W2 can only apply

Python Developer Ex-Capital One

Professional Summary
Experienced Python Developer with a strong background in building scalable backend services, real-time payment systems, and data engineering solutions. Previously at Capital One, contributed to FinTech platforms, cloud-native architectures, and event-driven ecosystems using AWS, serverless computing, and high-performance data pipelines.

Roles & Responsibilities

Designed and developed secure, scalable, and resilient backend services using Python.
Built and integrated payment processing modules supporting ACH, real-time payments, and digital transactions.
Developed serverless applications using AWS Lambda and orchestrated workflows via Step Functions.
Created and optimized ETL/data pipelines using AWS Glue, S3, Kinesis, Redshift, and Spark-based transformations.
Implemented event-driven architectures leveraging Kafka and streaming data for real-time financial processing.
Developed APIs using FastAPI, Flask, or Django, integrating with internal/external systems.
Worked with SQL & NoSQL databases for transaction data modeling and analytics.
Participated in system design, requirement analysis, code reviews, debugging, and performance tuning.
Ensured observability, reliability, and security compliance using logging, monitoring, and automated validation.
Coordinated with cross-functional teams, product owners, architects, and offshore development squads.
Delivered solutions following Agile/Scrum practices, CI/CD automation, and deployment best practices.

Must Have Skills

Python, FastAPI/Flask/Django
AWS (Lambda, Glue, S3, Kinesis, Redshift, Step Functions)
API development & system integrations
Real-time data streaming & event processing
Data pipelines (ETL, Spark transformations)
SQL & NoSQL
Unit testing, automation, debugging
CI/CD, Docker, Kubernetes (basics or intermediate)

Nice to Have

Machine Learning or AI model integration
Payment domain certifications or financial compliance exposure
Data visualization (Power BI / Tableau)
Infrastructure automation (Terraform/CloudFormation)

Interested candidates can reach out

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