[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Lazer Logistics is seeking a Data Engineer to join their Data & AI team, responsible for building and maintaining scalable data pipelines and models that support analytics and AI-driven tools. The role involves designing data models, optimizing data workflows, and collaborating with cross-functional teams to deliver data-driven solutions.
Responsibilities
- Design and build data models and semantic layers optimized for analytics, business intelligence, and AI use cases, including supporting Fabric Data Agents configured as MCP servers that expose curated, governed datasets to AI systems
- Design and manage dimensional data models (star/snowflake) within a medallion architecture to support business reporting, analytics, and AI use cases
- Support initiatives to centralize data from multiple systems into a single master dimensional model
- Ensure data structures and models support business intelligence tools and reporting needs, enabling data-driven decision-making across the organization
- Develop and maintain efficient, scalable data pipelines for ingestion, transformation, and integration
- Automate workflows and data integration processes using Azure Data Factory, Microsoft Fabric, Logic Apps, APIs, and other relevant tools
- Continuously monitor and enhance data pipeline and data model performance to ensure scalability, reliability, and efficiency for both reporting and AI workloads
- Partner with the Enterprise Data team, business analysts, and cross-functional stakeholders to translate data and AI requirements into practical solutions
- Support business users in connecting to, consuming, and working with data for reporting and analysis
- Promote a business partner and ownership mindset to the team to prioritize customer service excellence, adaptability and resilience to change and continuous improvement
- Other tasks as assigned
Skills
- Strong in data modeling and engineering
- Solid collaboration and problem-solving skills
- Design and build data models and semantic layers optimized for analytics, business intelligence, and AI use cases
- Design and manage dimensional data models (star/snowflake) within a medallion architecture to support business reporting, analytics, and AI use cases
- Support initiatives to centralize data from multiple systems into a single master dimensional model
- Ensure data structures and models support business intelligence tools and reporting needs
- Develop and maintain efficient, scalable data pipelines for ingestion, transformation, and integration
- Automate workflows and data integration processes using Azure Data Factory, Microsoft Fabric, Logic Apps, APIs, and other relevant tools
- Continuously monitor and enhance data pipeline and data model performance to ensure scalability, reliability, and efficiency for both reporting and AI workloads
- Partner with the Enterprise Data team, business analysts, and cross-functional stakeholders to translate data and AI requirements into practical solutions
- Support business users in connecting to, consuming, and working with data for reporting and analysis
- Promote a business partner and ownership mindset to the team to prioritize customer service excellence, adaptability and resilience to change and continuous improvement
Benefits
- General Benefits
Company Overview
Company H1B Sponsorship