Data Engineer

Title: Data Engineer

Location: Carlsbad, CA / Tempe, AZ (Hybrid – 3 days onsite)
Duration: Full-Time

Job Summary

Our client is seeking a Data Engineer to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing ELT/ETL pipelines, working with Google Cloud Platform or Azure, and supporting enterprise data solutions. This role will also contribute to cloud migration initiatives and next-generation AI-enabled data platforms.

Key Responsibilities

• Develop and maintain ELT/ETL pipelines using Airbyte, DBT, Google Cloud Platform/BigQuery.
• Build and orchestrate workflows using Prefect.
• Manage and optimize BigQuery datasets, performance, and access controls.
• Support migration of legacy Azure data pipelines to Google Cloud Platform.
• Monitor and troubleshoot data pipelines using cloud observability tools.
• Contribute to Infrastructure as Code using Terraform, Git, and CI/CD workflows.
• Collaborate with global teams to ensure reliable data delivery and maintain operational documentation.

Required Skills

• Strong experience with SQL and Python.
• Hands-on experience with ELT/ETL pipeline development.
• Experience with Google Cloud Platform or Azure cloud platforms.
• Proficiency with Git, code reviews, and version control.
• Ability to troubleshoot data issues and work independently in a distributed environment.

Preferred Skills

• Experience with DBT, Airbyte, Prefect, BigQuery, and Looker.
• Knowledge of Terraform and Infrastructure as Code.
• Exposure to Grafana, Azure Monitor, or Google Cloud Platform monitoring tools.
• Experience with BI tools such as Looker, Power BI, SAP Analytics Cloud (SAC), or OBIEE.
• Familiarity with SRE concepts, automation, and AI-assisted data workflows.