Senior Data Engineer: Build Scalable Pipelines & Data Lakes

XPEL, Inc.; San Antonio (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

XPEL, Inc. is seeking a Senior Data Engineer to design, build, and optimize enterprise data pipelines and cloud-based data solutions. You will collaborate with cross-functional teams to deliver scalable ETL/ELT processes for analytics and operations, while ensuring data governance and security.

The role emphasizes technical leadership, mentorship, and continuous evaluation of new technologies to maximize development efficiency in a fast-paced environment.

Qualifications

• Proven experience in data engineering or related software roles.
• Proficiency in SQL and Python.
• Experience building and supporting enterprise-scale data warehouses and data lakes.
• Familiarity with cloud platforms (Azure/AWS/GCP).
• Ability to learn new technologies quickly and collaborate effectively.

Responsibilities

• Design, develop, and maintain enterprise data pipelines and integrations.
• Build and optimize scalable ETL/ELT processes for operational and analytical workloads.
• Develop data warehouse, data lake, and cloud-based data solutions.
• Create data models to support BI, analytics, and predictive modeling.
• Ensure data accuracy, governance, and security; participate in code reviews.

Skills

SQL

Python

Data pipelines

Mentorship

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Azure

AWS

Google Cloud Platform

Job description

XPEL, Inc. is seeking a Senior Data Engineer to design, build, and optimize enterprise data pipelines and cloud-based data solutions. You will collaborate with cross-functional teams to deliver scalable ETL/ELT processes for analytics and operations, while ensuring data governance and security.

The role emphasizes technical leadership, mentorship, and continuous evaluation of new technologies to maximize development efficiency in a fast-paced environment.