Senior Python Data Analyst Jobs in Iowa (NOW HIRING)

Job Title: Sr Python Developer
Location: Des Moines, IA (Onsite)
Type: Full Time Role
 

W2-Visa-independent candidates required

Job Summary:

We are seeking an experienced Senior Python Developer with strong AWS cloud expertise to design, develop, and support scalable, cloud-native applications, APIs, and data solutions. The ideal candidate will combine deep Python development skills with hands-on experience building distributed systems on AWS. This role requires ownership of the full software lifecycle, from solution design and implementation to production support and operational excellence.

Key  Responsibilities
Python Development & API Engineering
•    Design, develop, and maintain Python-based backend applications, microservices, and APIs.
•    Build scalable RESTful APIs and integrations supporting enterprise applications and data platforms.
•    Develop reusable components, libraries, and automation frameworks following engineering best practices.
•    Implement secure API authentication, authorization, rate limiting, and monitoring capabilities.
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Data Engineering & Processing
•    Build and maintain data ingestion, transformation, and processing pipelines.
•    Develop solutions for integrating data across multiple internal and external systems.
•    Optimize data access patterns, database interactions, and application performance.
•    Ensure data quality, validation, observability, and operational reliability.
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AWS Cloud Engineering
•    Design and implement cloud-native solutions using AWS services such as Lambda, ECS, EKS, API Gateway, S3, DynamoDB, RDS, SQS, SNS, EventBridge, CloudWatch, and Step Functions.
•    Develop highly available, fault-tolerant, and scalable applications leveraging AWS best practices.
•    Implement infrastructure automation, deployment pipelines, monitoring, and operational controls.
•    Collaborate with cloud, security, and platform teams to ensure compliance, governance, and cost optimization.
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Production Support & Reliability
•    Support business-critical production systems and APIs in a high-availability environment.
•    Perform incident triage, root cause analysis, and issue remediation.
•    Analyze logs, metrics, and system behavior to identify performance bottlenecks and reliability risks.
•    Drive continuous improvements in resiliency, observability, scalability, and operational efficiency
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AI-Assisted Software Development
•    Leverage AI-powered development tools such as GitHub Copilot, Amazon Q, ChatGPT, Cursor, or equivalent tools to accelerate development and improve code quality.
•    Utilize AI for code generation, unit test creation, documentation, troubleshooting, code reviews, and solution prototyping.
•    Validate AI-generated outputs to ensure alignment with security, architectural, and engineering standards.
•    Promote responsible adoption of AI-assisted development practices within the engineering team
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 Technical Leadership
•    Mentor junior developers and contribute to engineering standards and best practices.
•    Participate in architecture reviews, technical design discussions, and code reviews.
•    Partner with product, business, architecture, and operations teams to deliver high-quality solutions.
•    Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
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Required Skills
•    8+ years of hands-on Python development experience.
•    Strong experience building APIs, microservices, and distributed systems.
•    Solid experience designing and implementing solutions on AWS.
•    Experience with cloud-native architectures, event-driven systems, and enterprise integrations.
•    Strong understanding of system design, scalability, reliability, and performance optimization.
•    Experience supporting production systems in large-scale enterprise environments.
•    Proficiency with SQL and NoSQL databases.
•    Experience with CI/CD, monitoring, logging, and observability practices.
Preferred Qualifications
•    Experience with FastAPI, Flask, or Django.
•    Experience with Docker, Kubernetes, ECS, or EKS.
•    Experience with AWS serverless and event-driven architectures.
•    Familiarity with Infrastructure as Code (Terraform, CloudFormation, CDK).
•    Experience in financial services, insurance, or other regulated enterprise environments.
•    Prior experience as a Senior Engineer, Technical Lead, or Solution Designer.