Senior Data Engineer

Job Summary:

Core Duties

• Design, develop, and maintain enterprise data pipelines and integrations from internal and external data sources and other technologies as needed.
• Build and optimize scalable ETL/ELT processes supporting operational and analytical workloads.
• Develop and maintain data warehouse, data lake, and cloud-based data solutions.
• Create efficient data models to support business intelligence, self-service analytics, and predictive modeling.
• Ensure data accuracy, integrity, governance, and security through established best practices.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Provide technical leadership and mentorship to junior team members.
• Participate in code reviews to ensure code quality and share knowledge.
• Contribute to the overall architecture and technical direction of the software products.

Basic Qualifications

• Proven experience in data engineering, software engineering, analytics engineering, or related technical roles.
• Proficiency in SQL and Python.
• Experience developing and supporting enterprise-scale data warehouses and data lakes.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Demonstrated ability to learn and adapt to new technologies quickly.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Familiarity with Agile development methodologies is a plus.
• A degree in Computer Science, Engineering, or a related field is preferred but not required.

XPEL is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.