Senior Python Developer

Eliassen Group
United, WV, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$153,920 - $162,240
Working hours
Regular working hours

Tech stack

LangGraph Framework Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Software as a Service Computer Networks Relational Databases Linux Elasticsearch Python (Programming Language) PostgreSQL Machine Learning
+10 more
Natural Language Processing NoSQL SQL Databases Data Ingestion Agentic-AI Amazon Relational Database Service AI Platforms Search Engines Route53 Amazon Simple Queue Service (SQS)

Job description

nOur client seeks a Senior Python Developer to build and operate components of a SaaS 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.

Requirements

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. \n

  • Strong experience with Python and Linux. \n

  • Proven experience ingesting, storing, and querying messy data at scale. \n

  • Experience with PostgreSQL or other SQL relational databases. \n

  • Familiarity with ElasticSearch or other NoSQL search engines. \n

  • Hands-on AWS experience with Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and networking concepts. \n

  • Demonstrated initiative in independent or self-managed projects. \n

  • Adaptable, self-motivated, and curious, ideally with startup exposure. \n

  • Nice to have: experience with NER, NLP, modeling, machine learning, or agent frameworks such as LangGraph. \n

Benefits & conditions

  • Design, develop, and maintain Python services and data pipelines on Linux. \n

  • Ingest, normalize, and query messy, large-scale datasets. \n

  • Implement and optimize data models in PostgreSQL or similar relational databases. \n

  • Build and tune search capabilities using ElasticSearch or comparable engines. \n

  • Deploy and operate workloads on AWS including Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and core networking. \n

  • Own components end to end including source code, testing and validation, interdependencies, and deployment strategies. \n

  • Contribute to modernization while supporting production stability for the screening platform. \n

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