Proven experience in data engineering or related technical roles.
Proficiency in SQL and Python programming languages.
Experience in developing enterprise-scale data warehouses and lakes.
Familiarity with cloud platforms like Azure, AWS, or Google Cloud Platform.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Ability to quickly learn and adapt to new technologies.
Responsibilities
Design and maintain enterprise data pipelines from various sources.
Build and optimize ETL/ELT processes for operational and analytical workloads.
Develop data warehouse, data lake, and cloud-based data solutions.
Create data models for business intelligence and predictive analytics.
Ensure data accuracy and security through best practices.
Collaborate with teams to define and implement new features.
Continuously evaluate and implement new technologies for efficiency.
Provide mentorship and technical leadership to junior team members.
Benefits
Work within a dynamic and innovative team environment.
Opportunities for professional growth and advancement.
Participate in collaborative projects across various teams.
Access to the latest technologies and tools.
Flexible learning and adaptation support.
Full Job Description
Job Summary:
We are seeking a highly motivated and talented Senior Data Engineer to join our team. We value ambition, intelligence, and the ability to learn quickly over specific experience in our stack. If you have a strong background in software data engineering, a passion for problem-solving, and a track record of delivering high-quality solutions, we want to hear from you.
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.
About XPEL, Inc.
XPEL, Inc. is a leading provider of protective films and coatings for the automotive and architectural markets. The company's products are designed to protect against damage from rocks, debris, and other hazards, as well as to enhance the appearance of vehicles and buildings. XPEL's product portfolio includes paint protection films, window films, and ceramic coatings, among others. The company is headquartered in San Antonio, Texas, and has operations in the United States, Canada, and Europe.
