Data Engineer

NuVision Auto Glass is a leading auto glass service provider in the USA, serving customers across Arizona, Florida, South Carolina, and Colorado. Known for delivering reliable mobile windshield replacement and expert auto glass services, ensuring convenience and safety at every step.

With seamless insurance claims, easy financing options for cash payments, and advanced ADAS calibration through a partnership with ADAS360, NuVision Auto Glass guarantees exceptional service. A strong reputation and growing presence in multiple regions reflect its commitment to quality and customer satisfaction.

About the Role

We are looking for a Data Engineer to lead the design and implementation of NuVision’s new data platform from the ground up. You’ll own the creation of a scalable data lake and analytics backbone that powers critical business decisions.

Google Cloud Platform (GCP)

What You’ll Do

• Design, build, and maintain the end-to-end data pipeline on

  GCP.

• Ingest and organize raw data in

  Google Cloud Storage (GCS

  ) for a reliable data lake.
• Automate ongoing data ingestion using

  Cloud Functions + Cloud Scheduler.

• Develop robust

  ETL/ELT

  processes using

  Python

  and advanced

  SQL.

• Transform and model raw operational data into analytics-ready

  BigQuery

  tables.
• Partner with business teams to turn reporting needs into efficient data models.
• Serve as the backbone for Looker Studio dashboards, ensuring performance, accuracy, and scalability.
• Establish and enforce data quality standards, documentation, and governance practices.

What We’re Looking For

• Bachelor’s or Master’s degree in

  Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field.

• 2–5+

  years of experience in Data Engineering (or related field).
• Strong knowledge of Google Cloud Platform

  (GCS, BigQuery, Cloud Functions, Cloud Scheduler).

• Hands-on expertise with Python scripting and advanced

  SQL.

• Experience with

  ETL/ELT

  pipelines and data modeling.
• Good Experience and knowledge about BI tools

  (preferably Looker Studio)

  for reporting and dashboards.
• Passion for building scalable, automated, and well-documented data systems.
• Strong problem-solving skills and ability to translate business requirements into data solutions.