Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term
Skills
Azure
aws
AI
GenAI
Job Details
Location Overland Park, KS or Frisco, TX (Onsite from Day 1)
Key Responsibilities:
- Hands on experience designing and developing end-to-end data pipelines, from data ingestion to pipeline deployment and monitoring.
- Lead the architecture and implementation of complex agentic frameworks, ensuring best practices in software engineering and data integrations.
- Collaborate with cross-functional teams (Technology, Business, Platform etc.) to integrate data solutions into existing data products and services.
- Stay at the forefront of GenAI advancements and incorporate new technologies and methodologies into our systems.
- Mentor and guide junior data engineers and architects in best practices for development.
- Design and implement optimized RAG architectures and pipelines.
- Design and implement strategies for handling unstructured data in pipelines.
- Integrate data pipelines with Snowflake data warehouse for efficient data processing and storage.
- Build POCs to compare evaluate various emerging technologies around data and AI
- Create prototypes to establish patterns.
Required Qualifications:
- Master's in Computer Science or a related field.
- 7+ years of experience in data engineering.
- Expertise in Azure. Plus if experienced in AWS as well.
- Expertise in designing and architecting production-ready enterprise grade data pipelines.
- Strong knowledge of Cloud services, NoSQL, Document DBs , including design, implementation, and optimization. (e.g. AWS open search or Google Cloud Platform Vertex AI, neo4j etc. Mongo, Dynamo, CosmosDB etc.)
- Expertise in designing, loading, and querying NoSQL.
- Extensive experience in processing and leveraging unstructured data for data applications.
- Strong programming skills in Python and knowledge of deep learning frameworks such as PyTorch or TensorFlow.
- Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience designing multi cloud hybrid solutions.
- Experience in building/designing autonomous AI agents
- Knowledge of natural language processing (NLP) technologies.
- Experience working with Snowflake data warehouse, particularly in AI/ML contexts.
- Familiarity with the telecom industry and its specific data challenges and use cases is a big plus.
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