Senior Data Engineer: Architect Scalable Pipelines & Lakes

XPEL, Inc.; San Antonio (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

XPEL, Inc. is seeking a Senior Data Engineer to design and maintain enterprise data pipelines, data warehouses, and cloud-based data solutions in a fast-paced environment. You will empower analytics and BI through scalable ETL/ELT processes and robust data models.

Join a team that values problem-solving, mentorship, and continuous learning as you help shape data architecture and drive innovative data solutions across the organization.

Qualifications

• Proven experience in data engineering or analytics engineering roles.
• Proficiency in SQL and Python.
• Experience with enterprise data warehouses and data lakes.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Degree in Computer Science, Engineering, or related field preferred but not required.

Responsibilities

• Design, develop, and maintain enterprise data pipelines and integrations from internal and external data sources.
• Build and optimize scalable ETL/ELT processes for operational and analytical workloads.
• Develop and maintain data warehouses, data lakes, and cloud-based data solutions.
• Create efficient data models to support BI, self-service analytics, and predictive modeling.
• Ensure data accuracy, governance, and security through best practices.
• Collaborate with cross-functional teams to define and ship new features.
• Continuously evaluate and implement new technologies to improve development efficiency.
• Provide technical leadership and mentorship to junior engineers.
• Participate in code reviews to ensure quality and knowledge sharing.
• Contribute to overall architecture and technical direction of software products.

Skills

SQL

Python

Data engineering

Analytics engineering

Cloud platforms

Education

Bachelor's degree in CS/Engineering or related

Tools

Azure

AWS

Google Cloud Platform

Job description

XPEL, Inc. is seeking a Senior Data Engineer to design and maintain enterprise data pipelines, data warehouses, and cloud-based data solutions in a fast-paced environment. You will empower analytics and BI through scalable ETL/ELT processes and robust data models.

Join a team that values problem-solving, mentorship, and continuous learning as you help shape data architecture and drive innovative data solutions across the organization.