Data Engineer

Data Engineer to design, implement, and maintain scalable, cost-efficient data pipelines and analytics solutions on Azure, collaborating with stakeholders to ensure data quality and enable enterprise analytics and reporting.

• Architect and sustain scalable data pipelines on Azure using services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
• Ingest data from diverse sources including APIs, databases, and files into centralized analytics repositories.
• Develop and manage ETL and ELT workflows to transform raw data into analytics-ready models aligned with business needs.
• Design a microservices style architecture capable of rapid scaling with business growth and AI capabilities.
• Build data pipelines that feed AI models with clean, structured logistics data.
• Implement real-time analytics engines to empower predictive logistics capabilities.
• Ensure data quality, integrity, and governance through validation, monitoring, and alerting mechanisms.
• Collaborate with business and technical teams to capture data requirements and align data assets with business needs.
• Apply cost-conscious data engineering strategies to optimize performance while managing cloud spend and storage costs.
• Maintain and enhance a semantic data layer or curated datasets to support self-service BI with Power BI and advanced analytics.
• Contribute to the architecture of the data platform with emphasis on security, scalability, and performance.
• Automate data operations and deployment through CI/CD pipelines and infrastructure-as-code (ARM, Bicep, or Terraform).
• Stay current with evolving Azure technologies and propose improvements to existing data workflows.
• Other duties as assigned.

• Minimum 5 years of experience building and managing data pipelines in Microsoft Azure environments.
• Proficiency with Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
• Strong SQL, data modeling, and ELT/ETL pattern knowledge.
• Experience working with APIs, JSON, and structured or unstructured data sources.
• Proven ability to work cross-functionally to deliver high-quality data solutions.
• Excellent organizational skills and ability to manage multiple tasks, set priorities, collaborate with diverse teams, and meet tight deadlines with attention to detail.
• Flexible schedule availability as needed.
• Proficient in Microsoft Office Suite.
• Demonstrated leadership abilities with effective cross-functional communication and collaboration.
• Attention to detail and compliance in a fast-paced environment.
• Logistics or Supply Chain experience preferred.
• Bachelor's Degree in an IT-related program.

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake
• Power BI
• SQL
• JSON
• Terraform
• Bicep
• ARM
• Microsoft Office Suite

• Dental insurance
• Health insurance
• Life insurance
• Paid time off

• Sitting at a desk, typing, viewing multiple screens, and responding to calls, emails, and messages throughout the day.
• Occasionally bending, standing, or lifting up to 10 pounds.

The role is based in an open office setting with regulated temperatures and high phone activity.

• Full-time. Typically Monday through Friday, 8:00 am – 5:00 pm (1 hour lunch), 40+ hours per week.
• Position may require hours outside the standard schedule as business needs dictate.

• Minimal to no travel required; potential travel to conferences or trainings as needed.

• Ability to adapt in a fast-paced environment and handle change with ease.
• Efficient time management, punctuality, and reliability.
• Foster teamwork, integrity, and leadership within the organization.
• Clear written and verbal communication that is respectful and professional.