XPEL

Senior Data Engineer

San Antonio, TX

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

Keywords matched to this posting
Fit score before you apply
Cover letter included

Matched against 2.6M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family: Data & ML
Seniority: Senior
Country: US
Work mode: On-site / unstated
First seen by hirly: 27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the 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.

Original posting on XPEL's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job