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Data Engineer

  • Job type Posted on: Jul 23, 2026
  • Experience level Staffingine LLC
  • Employment type Glendale, California
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-time

Job Location :

Glendale California United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Data Engineer
Job Location: Glendale, CA
Job Type: Full-Time

Job Description:

  • Develop and maintain data platform pipelines and data integration processes.
  • Support the implementation of conceptual, logical, and physical data models.
  • Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
  • Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
  • Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
  • Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
  • Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
  • Follow established standards and best practices for data pipelines, naming conventions, and platform development.
  • Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
  • Contribute to documentation of data assets, processes, and platform standards.
  • Partner with stakeholders to understand business requirements and support delivery of data solutions.
  • Maintain documentation to support data quality, governance, and operational requirements.

Jobcon Logo Position Details

Posted:

Jul 23, 2026

Reference Number:

18899-34208

Employment:

Full-time

Salary:

Not Available

City:

Glendale

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Data Engineer
Job Location: Glendale, CA
Job Type: Full-Time

Job Description:

  • Develop and maintain data platform pipelines and data integration processes.
  • Support the implementation of conceptual, logical, and physical data models.
  • Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
  • Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
  • Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
  • Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
  • Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
  • Follow established standards and best practices for data pipelines, naming conventions, and platform development.
  • Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
  • Contribute to documentation of data assets, processes, and platform standards.
  • Partner with stakeholders to understand business requirements and support delivery of data solutions.
  • Maintain documentation to support data quality, governance, and operational requirements.

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