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Databricks Engineer

  • Databricks Engineer job type Posted on: Oct 14, 2026
  • Databricks Engineer experience level Openkyber
  • Databricks Engineer employment type Atlanta, Georgia
  • Databricks Engineer employment type Onsite
  • Databricks Engineer salary Full-time

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Job Title :

Databricks Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Position Overview We are seeking a highly analytical Data Engineer to join an innovative, AI-focused initiative.

Key Responsibilities:
  • Design, develop, and optimize scalable data models to support AI and analytics initiatives.
  • Analyze complex datasets to identify relationships, dependencies, and business requirements.
  • Develop, maintain, and optimize complex SQL queries, transformations, and data pipelines.
Required Qualifications:
  • Strong experience with SQL , including complex query development and performance optimization.
  • Hands-on experience with Python for data engineering and automation.
  • Experience working with Databricks .
  • Strong understanding of data modeling , relational databases, and database design principles.
  • Experience building scalable data pipelines and data architectures.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Experience analyzing large and complex datasets.
  • Ability to work effectively in a collaborative, cross-functional environment.
  • Excellent verbal and written communication skills.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93647-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Position Overview We are seeking a highly analytical Data Engineer to join an innovative, AI-focused initiative.

Key Responsibilities:
  • Design, develop, and optimize scalable data models to support AI and analytics initiatives.
  • Analyze complex datasets to identify relationships, dependencies, and business requirements.
  • Develop, maintain, and optimize complex SQL queries, transformations, and data pipelines.
Required Qualifications:
  • Strong experience with SQL , including complex query development and performance optimization.
  • Hands-on experience with Python for data engineering and automation.
  • Experience working with Databricks .
  • Strong understanding of data modeling , relational databases, and database design principles.
  • Experience building scalable data pipelines and data architectures.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Experience analyzing large and complex datasets.
  • Ability to work effectively in a collaborative, cross-functional environment.
  • Excellent verbal and written communication skills.

For applications and inquiries,

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