Software Engineer - Data/Opensearch

Job Description

Hybrid in Charlotte, NC

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Our client seeks a senior software engineer to build and operate the software, data, and metadata foundations of a Data Marketplace platform. The role focuses on Python services, AWS infrastructure automation with Terraform, and OpenSearch-based search and AI/ML capabilities. The engineer will collaborate across platform, data, and security teams to deliver scalable, observable solutions and mentor peers while maintaining engineering standards.

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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.

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Rate: $90.00 to $100.00/hr. w2

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JN -052026-106719

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Responsibilities

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• Design, develop, and maintain Python-based services, Lambda functions, and data pipelines.
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• Provision and manage AWS infrastructure using Terraform with modular, secure, and maintainable patterns.
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• Build and operate AI/ML and search on Amazon OpenSearch, including vector search, semantic retrieval, and LLM workflow integration.
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• Collaborate with data, platform, and security teams across AWS services including Lambda, API Gateway, Glue, S3, DynamoDB, IAM, and VPC.
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• Modernize Dynatrace alarming using Terraform and Python.
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• Enforce code quality with reviews, automated testing, CI/CD, and observability.
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• Mentor junior engineers and contribute to architecture and technical standards.
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• Evaluate ambiguous requirements and select effective solutions.
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• Operate as a self-starter, conduct research, and present solution tradeoffs clearly.
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Experience Requirements

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• 5+ years of professional software development experience with hands-on coding.
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• Strong Python proficiency including type hints, unit testing with unittest or pytest, and packaging.
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• Terraform for AWS Infrastructure as Code.
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• Experience with GitHub and Confluence.
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• Amazon OpenSearch expertise including index design, query DSL, and vector or k-NN search.
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• AI/ML experience with embeddings, RAG patterns, foundation models, and ML model integration.
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• Proficiency with AWS services including DynamoDB, Glue, IAM, S3, API Gateway, and Lambda.
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• Collibra or integration with enterprise data catalog or governance platforms (preferred).
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• Kafka or other event-driven architecture (preferred).
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• AWS Lake Formation (preferred).
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