Data & AI Engineer – Equities Technology
Chicago, Illinois, United States
USD 130K-160K Senior-level Full Time
Tasks
- Build and deploy AI enabled services agents and workflows
- Build reusable ingestion and transformation frameworks
- Collaborate on requirements with product engineering data science and business stakeholders
- Design optimize and maintain data models and analytical schemas
- Design, build, and maintain scalable data pipelines
- Develop operational dashboards for pipeline health SLAs performance and cloud spend
- Document technical designs integrations and operational playbooks
- Ensure AI security auditability explainability and compliance
- Ensure data quality lineage governance security and observability
- Implement CI CD pipelines using Azure DevOps and YAML
- Implement ETL and ELT workflows
- Implement LLM and agentic patterns including RAG
- Implement monitoring alerting lifecycle management and runbooks
- Integrate AI capabilities into applications via APIs batch jobs event driven workflows
- Lead testing resolve defects and analyze issues
- Monitor industry trends and recommend technology adoption
- Optimize prompts embeddings orchestration logic and inference workflows
- Participate in agile ceremonies
- Productionalize AI and data science proofs of concept
- Support migration to Azure native architectures
- Use Infrastructure as Code for deployments
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Functions | Azure Key Vault | Azure Monitor | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Databricks | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | Infrastructure as Code | Key Vault | LLM | Logic Apps | Observability | Orchestration | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Spark | Synapse Analytics | YAML | “as-code”
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
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