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.

• Set up and manage large-scale data lakes, ensuring scalability, reliability, and optimized data flow.
• 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

• Minimum 10 years of experience

  in Data Engineering or a closely related field.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field.
• Extensive experience

  setting up and running Data Lakes

  on cloud environments (preferably GCP).
• Strong knowledge of Google Cloud Platform (GCS, BigQuery, Cloud Functions, Cloud Scheduler).
• Hands-on expertise with

  Advanced SQL

  ,

  Python scripting

  , and building

  Looker dashboards

  .
• Proven experience designing and optimizing ETL/ELT pipelines and data modeling.
• Deep understanding of 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.