Senior Data Solutions Engineer – Enterprise Analytics

Expeditors; Laredo (TX); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Paid vacation

Holidays (10)

Flexible Days

Paid Sick Time (accrual rate)

Job summary

Expeditors is seeking an Engineer III, Global Technology - Data Solutions, to design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions.

You will collaborate with engineers, product managers, architects, and platform teams to develop enterprise data platforms, semantic models, and reporting solutions using Microsoft Fabric, Databricks, Power BI, SQL, Spark, PySpark, and Git-integrated CI/CD pipelines, with

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent.
• 5+ years designing and implementing end-to-end data/analytics solutions.
• Advanced experience with Microsoft Fabric and Databricks for data modeling and analytics architecture.
• Advanced Power BI proficiency (DAX, dashboards, semantic models).
• Experience building scalable data pipelines, Lakehouse, data warehouses, using SQL/Spark/PySpark.
• Experience with Git-integrated CI/CD, automated testing and release governance.

Responsibilities

• Design, build, and support enterprise data models, semantic layers, reporting datasets, and analytics apps.
• Define engineering best practices for data quality, automation, observability, and CI/CD.
• Collaborate across teams to deliver scalable analytics solutions.
• Advance analytics engineering through automation and governance.
• Mentor teammates and share knowledge.

Skills

Data engineering

Enterprise data platforms

Collaboration

Leadership

Problem solving

Education

Bachelor’s degree in CS/IS/Engineering

Tools

Microsoft Fabric

Databricks

Power BI

SQL

Spark

PySpark

Git/CI-CD

Job description

Expeditors is seeking an Engineer III, Global Technology - Data Solutions, to design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions.

You will collaborate with engineers, product managers, architects, and platform teams to develop enterprise data platforms, semantic models, and reporting solutions using Microsoft Fabric, Databricks, Power BI, SQL, Spark, PySpark, and Git-integrated CI/CD pipelines, with