Apply on Employer Site

PENNYMAC · 9 hours ago

Senior Application Developer

Cary, NC

Full-time

Onsite

Mid, Senior Level

$90K/yr - $150K/yr

5+ years exp

Pennymac is a specialty financial services firm focused on the production and servicing of U.S. mortgage loans. The Senior Application Developer will lead the design, development, and management of enterprise data pipeline infrastructure, primarily using Python and AWS cloud services to support critical business functions.

BankingFinanceFinancial ServicesLendingMortgage

H1B Sponsor Likely

Responsibilities

Advanced Python Development - Architect, develop, and maintain production-grade Python applications using Object-Oriented Programming, design patterns, and software engineering best practices for enterprise data pipelines

Expert AWS Cloud Services - Design and implement cloud-native data solutions using AWS services including Lambda, Glue, Step Functions, S3, EventBridge, SQS/SNS, and Kinesis

Data Pipeline Architecture - Lead the design of scalable ETL/ELT pipelines using Python frameworks such as Apache Airflow, Prefect, or AWS Step Functions for orchestration

API Development & Integration - Build and maintain RESTful APIs using FastAPI or Flask for data services, microservices, and system integrations

Serverless & Event-Driven Architecture - Design event-driven data pipelines leveraging AWS Lambda, EventBridge, and serverless patterns for real-time and batch processing

Infrastructure as Code - Implement and manage cloud infrastructure using CloudFormation, CDK, or Terraform for reproducible and version-controlled deployments

Experience with Python data frameworks (e.g., Pandas, NumPy, SQLAlchemy, PySpark) for data transformation and analysis

Strong experience with SQL and database technologies for data pipeline development and optimization

Experience with containerization (Docker) and container orchestration (ECS, Kubernetes) for deploying Python services

Experience with Git, CI/CD pipelines, and collaborative development workflows

Experience with comprehensive testing strategies including unit testing, integration testing, and data validation frameworks (pytest, Great Expectations)

Knowledge of DataOps practices (CI/CD for data pipelines, automated testing, monitoring)

Knowledge of Agile, Scrum, Jira methodologies

Qualification

PythonAWS Cloud ServicesData Pipeline ArchitectureAPI DevelopmentInfrastructure as CodeSQLContainerizationDataOpsAgileScrumJira

Required

Degree in Computer Science, Data Engineering, Engineering, or similar technical major

5+ years of software development experience with 4+ years of production Python development

Expert-level Python skills including OOP, design patterns, async programming, and building maintainable, testable code at enterprise scale

3+ years of hands-on AWS experience with data-focused services (Lambda, Glue, Step Functions, S3, Kinesis, EMR)

Deep understanding of data engineering concepts, ETL/ELT patterns, and modern data architecture principles

Extensive experience building and maintaining production data pipelines that process high volumes of data reliably

Demonstrated ability to master cloud technologies including serverless architectures, event-driven systems, and Infrastructure as Code

Proven track record of architecting and implementing business-critical data solutions that improve stability, security, performance, and scalability

Demonstrated ability to effectively communicate complex technical concepts to engineers, product owners, project managers, and business stakeholders

Demonstrated experience in multi-team collaboration and agile development practices, particularly in data-focused environments

Ability to collaborate across teams and design data systems that address architectural gaps and scalability challenges