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# Senior Python Developer

- **Company:** Eliassen Group
- **Location:** Raleigh, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $153,920.0 - $162,240.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Computer Networks, Relational Databases, Linux, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, NoSQL, Search Technologies, SQL Databases, Computer Network Technologies, Data Ingestion, Amazon Relational Database Service, AI Platforms, Deployment Automation, Search Engines, Route53, Amazon Simple Queue Service (SQS), Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/45448FD457F545EE8CA9112C91546263/job/

## About the Role

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5+ years of industry experience.

 * Strong experience with Python and Linux.
 * Proven experience ingesting, storing, and querying messy data at scale.
 * Experience with PostgreSQL or other SQL relational databases.
 * Familiarity with ElasticSearch or other NoSQL search engines.
 * Hands-on AWS experience with Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and networking concepts.
 * Demonstrated initiative in independent or self-managed projects.
 * Adaptable, self-motivated, and curious, ideally with startup exposure.
 * Nice to have: experience with NER, NLP, modeling, machine learning, or agent frameworks such as LangGraph.

## Description

Our client seeks a Senior Python Developer to build and operate components of aSaaS risk and compliance AI platform. The role requires hands-on development across data ingestion, storage, search, and cloud deployment. You will work primarily in Python on Linux, leverage AWS services, and contribute to both modernization and production support for a screening platform., * Design, develop, and maintain Python services and data pipelines on Linux.

 * Ingest, normalize, and query messy, large-scale datasets.
 * Implement and optimize data models in PostgreSQL or similar relational databases.
 * Build and tune search capabilities using ElasticSearch or comparable engines.
 * Deploy and operate workloads on AWS including Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and core networking.
 * Own components end to end including source code, testing and validation, interdependencies, and deployment strategies.
 * Contribute to modernization while supporting production stability for the screening platform.