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Senior Data Engineer

San Antonio, TX

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at XPEL Inc

What you’ll bring

All qualifications

Core experience

  • 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.
  • Excellent communication and collaboration skills.

Preferred experience

  • Familiarity with Agile development methodologies is a plus.
Qualification wording
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.
Excellent communication and collaboration skills.
Familiarity with Agile development methodologies is a plus.

Tools in this posting

  • SQL
  • AWS
  • Azure
  • Python
  • Google Cloud (GCP)
Source — Tool mentions in context
- 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 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.

Job description

View original posting ↗

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.

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

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on xpel.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

San Antonio, TX

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Status in our records
Active
First seen by us
Aug 11, 2026
Recorded sightings
85
Last seen by us
Sep 25, 2026

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