Position: Senior Python Developer
Reston Town Center VA (3 days onsite)
Description:
The Senior Python Developer will design develop test and implement cloud native applications data pipelines and backend services within AWS. The role requires strong Python engineering skills AWS service expertise foundational data engineering capabilities and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams follow established engineering practices and deliver secure scalable and maintainable solutions.
Required Technical Qualifications
Python Development
Strong proficiency in Python for backend service development
Experience with relevant Python libraries such as Pandas Boto3 and data processing packages
Proficiency with automated testing using PyTest including fixtures mocking and parameterization
Understanding of clean code principles error handling type hints and maintainable design
API Engineering
Hands-on experience building RESTful APIs using Flask Django or FastAPI
Knowledge of authentication and authorization mechanisms (JWT OAuth2)
Experience implementing API versioning request validation and structured error handling
Understanding of performance considerations such as throughput latency and caching
AWS Cloud Services
Practical experience with key AWS services including:
Lambda S3 Step Functions Glue EC2 ECS/Fargate RDS Redshift CloudWatch
Ability to design event driven serverless and containerized architectures
Familiarity with distributed systems patterns such as retries dead letter queues and idempotent operations
Experience monitoring applications via CloudWatch metrics logs and alarms
Infrastructure DevOps & Tooling
Hands-on experience with GitLab for version control and CI/CD pipeline development
Experience using Terraform (or similar) for infrastructure as code
Proficiency with Docker for containerized application development
Ability to use shell scripting and AWS CLI for operational automation
Familiarity with Agile development workflows (Jira Confluence)
AI Assisted Development Tools (Required Competency)
To support modern engineering productivity and code quality standards candidates must:
Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools
Use AI tools responsibly to:
o Accelerate development while maintaining code correctness
o Generate and refine unit tests and integration test scaffolding
o Improve readability documentation and boilerplate reduction
o Assist with refactoring code reviews and exploratory coding
Understand organizational expectations around responsible AI usage including validation security and compliance
This is a mandatory requirement not a bonus skill.
Data Engineering Skills (Required)
Candidates are expected to have practical exposure to foundational data engineering concepts including:
Experience building or maintaining data pipelines using AWS Glue PySpark or Lambda based ETL flows
Working knowledge of SQL and relational databases (e.g. Postgres Aurora or MySQL)
Ability to optimize SQL queries (joins aggregations window functions)
Understanding of data modeling data validation and schema evolution
Familiarity with Redshift ingestion patterns (e.g. COPY operations) and performance optimization
Experience working with data stored in S3 including partitioning data lifecycle considerations and file formats (Parquet/JSON)
Front-End Exposure (Preferred Not Required)
Basic familiarity with Angular particularly for integrating backend APIs
Ability to read and modify UI components when needed
Soft Skills & Engineering Mindset
Ability to communicate effectively with technical and non technical stakeholders
Strong analytical and problem solving capability
Demonstrated ability to navigate understand and improve existing codebases
Understanding of design patterns and architectural principles
Focus on reliability scalability automation and long term maintainability
Ability to collaborate in Agile teams and provide high quality documentation
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