Data Engineer

JOB SUMMARY:

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.

ESSENTIAL DUTIES Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.

Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.

Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.

Create microservices architecture that rapidly scales with business growth and AI capabilities.

Build data pipelines that feed AI models with clean, structured logistics data.

Implement real-time analytics engines powering predictive logistics capabilities.

Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems.

Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.

Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.

Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.

Contribute to the architecture of our data platform, including security, scalability, and performance best practices.

Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).Stay current with emerging Azure technologies and recommend improvements to existing data workflows

Other duties as assigned.

QUALIFICIATIONSEducation

Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.

Additional related training and certifications will be weighted on a case-by-case basis.

Experience5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases

Work experience in the transportation industry is a plus.

Knowledge, Skills, and Abilities Proven experience building and managing data pipelines in Microsoft Azure environments.

Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.

Strong knowledge of SQL, data modeling, and ELT/ETL patterns.

Experience working with APIs, JSON, and structured/unstructured data sources.

Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.

Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.

Availability to work a flexible schedule as needed.

Proficient in Microsoft Office Suite.

Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.

Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.

Logistics / Supply Chain experience preferred.
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