Data Engineer

Hybrid in Carlsbad, CA, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Extract, Transform, Load
  • ELT
  • Microsoft Power BI
  • Migration
  • Terraform
  • Python
  • SQL
  • Looker
  • Power BI
  • SAP Analytics Cloud
  • SAC
  • OBIEE
  • Grafana
  • Azure Monitor
  • GCP
  • DBT
  • Airbyte
  • Prefect
  • BigQuery
  • Infrastructure as Code
  • Git
  • code reviews
  • version control
  • cloud observability
  • data pipelines
  • CI/CD

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10126196
  • Position Id: 9009825
  • Posted 12 hours ago
Contact the job poster
NS

Narinder Singh

Recruiter @ Shimento, Inc.
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