Sr. Azure Data Engineer with AI Seattle WA (Onsite)
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Job Location:
Bothell, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Senior Azure Data Engineer With AI
Location: Seattle WA (Onsite)
Location: Seattle WA (Onsite)
Role Overview:
You will serve as a primary bridge between the firms Data & Analytics team and the broader organization - translating business needs into reliable usable analytics and AI-powered solutions. Success in this role depends as much on listening communication and judgment as on technical skill.
You will serve as a primary bridge between the firms Data & Analytics team and the broader organization - translating business needs into reliable usable analytics and AI-powered solutions. Success in this role depends as much on listening communication and judgment as on technical skill.
The team is at an inflection point:
- Transitioning from traditional BI toward a purpose-built AI ecosystem
- Undergoing a major ERP replacement
- Scaling analytics capabilities to meet growing firm-wide demand
- This is a hands-on engineering role. You will write code architect systems configure cloud infrastructure and deploy production AI applications. This role offers genuine influence over how data and AI are designed governed and used across the firm.
Required Qualifications:
Experience & Education:
- Bachelors degree in Data Science Information Systems Computer Science Business Analytics or equivalent experience
- 5 8 years of experience in data analytics analytics engineering business intelligence or related roles with increasing scope and ownership
Technical Skills:
- Advanced SQL skills including query optimization and data modeling
- Proficient Python developer: ETL/ELT pipelines REST API backends automation and AI application development; experience with pandas SQLAlchemy FastAPI and LangChain or similar
- Hands-on Power BI experience (data modeling DAX deployment and maintenance)
- Experience architecting and building multi-system API integrations including authentication flows (OAuth 2.0 / SSO/SAML) and webhook patterns
- Hands-on Git-based development workflows: branching code review CI/CD pipelines testing and production deployment
- Experience designing and implementing data lake or lakehouse architectures using structured and unstructured data sources (e.g. Delta Lake Azure Data Lake Storage S3 or equivalent)
- Hands-on cloud deployment experience (Azure preferred AWS Snowflake Databricks): compute storage managed databases container services and identity/access management
- Experience working with messy real-world data and legacy systems
AI & LLM Engineering:
- Hands-on experience building and deploying LLM applications: RAG pipelines vector store management (Pinecone pgvector or Weaviate) embedding workflows and API integration using Anthropic OpenAI or Azure OpenAI SDKs
- Experience implementing AI evaluation frameworks (e.g. LangSmith Arize or custom evals) to monitor model outputs detect drift and enforce output quality in production
- Experience deploying AI applications to cloud infrastructure (Azure AWS or GCP) including containerization (Docker) serverless functions and SSO/identity integration for enterprise tool rollout
- Nice to Have:
- Experience with ERP systems in professional services or project-based organizations
- Familiarity with data governance frameworks or formal data quality practices
- Experience working in AEC design or creative professional environments
- Background in internal training enablement or change management.
Tekhire Solutions is a world-class technology focused on customer-driven solutions and has a deep dive knowledge of client requirements. Tekhire is best in connecting a bridge between highly skilled workers and the Fortune 500. Always thrives to be up with the technology trends Innovation and transforms our trusted clients with certified and enterprise solutions that makes difference in the business.
