DBIQ Data and AI Engineer

Job Title: DBIQ Data and AI Engineer

Location: Hybrid/NYC, NY(2 days onsite in a week)

Duration: 04 months + possible extension Contract

Role Summary:

We are seeking an experienced DBIQ Data and Al Engineer Contractor to provide subject matter expertise.

Data and Al Engineer - OpsRadar and Al Data Platform

Role Overview

OpsRadar is an Al-powered operational intelligence platform that enables users to interact with enterprise operational data using natural language. Built on Snowflake Cortex Al technologies, semantic data models, and a growing ecosystem of operational data sources, OpsRadar provides intelligent insights across incidents, changes, alerts, assets, configuration data, and other operational domains.

We are looking for a motivated and technically curious Data Modeler/Al Engineer with approximately 3-7 years of experience to join our growing team. The successful candidate will help accelerate the onboarding of new data sources into the Lighthouse platform, design semantic data models for Al consumption, and contribute to the continued evolution of OpsRadar’s Al capabilities.

This role offers a unique opportunity to work at the intersection of Data Engineering, Artificial Intelligence, Snowflake, and Enterprise Operations.

Key Responsibilities:

Data Onboarding & Platform Development:

• Support the onboarding of new operational datasets into the Lighthouse data platform.
• Partner with data owners and subject matter experts to understand date structures, business processes, and use cases.
• Develop and maintain scalable ingestion pipelines and data processing workflows.
• Implement data quality controls, validation checks, and reconciliation processes.
• Support operationalization of new datasets from development through production deployment.

Semantic Data Modelling:

• Design and maintain semantic models that enable natural language querying through Al applications.
• Define business entities, metrics, relationships, dimensions, and business terminology.
• Collaborate with stakeholders to ensure semantic models accurately reflect operational processes.
• Validate Al-generated results and continuously improve model quality and usability.
• Help build reusable semantic modelling standards and best practices.

Al & Snowflake Development:

• Develop and enhance capabilities leveraging Snowflake Cortex Al services.
• Support the configuration and testing of Cortex Agents, semantic views, and Al-driven workflows.
• Assist in prompt development, evaluation, and optimization activities.
• Contribute to the design of Al-powered solutions that improve operational efficiency and user experience.
• Participate in experimentation and adoption of emerging Al technologies and methodologies.

Software Engineering & DevOps:

• Contribute to all phases of the Software Development Lifecycle (SDLC).
• Develop, test, deploy, and support production quality solutions.
• Build and maintain CI/CD pipelines and automated deployment processes
• Participate in code reviews and engineering best practices.
• Support troubleshooting, monitoring, and operational support activities

Required Skills & Experience:

Core Technical Skills:

• 3-7 years of software engineering, data engineering, or platform engineering experience.
• Strong knowledge of Snowflake including SQL development, data modeling, and platform administration.
• Experience with Snowflake Cortex Al capabilities or a strong desire to leam Al technologies.
• Understanding of Al and machine learning concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Al agents, and prompt engineering.
• Experience designing logical and physical data models.
• Familiarity with semantic modeling concepts and business-facing data abstractions. Strong SQL development and data analysis skills.

SDLC & Engineering Practices:

• Experience working with Git-based source control.
• Familiarity with CI/CD concepts and tools such as Jenkins, GitHub Actions, or similar platforms.
• Experience working within Agile SDLC processes.
• Familiarity with Jira, Confluence, and related engineering collaboration tools.
• Understanding of software testing, release management, and deployment best practices.

Desired / Preferred Skills:

• Experience with Kafka or other event-streaming technologies.
• Experience with HVR or similar data replication tools.
• Experience building ETL/ELT pipelines.
• Famili…