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Analytics Engineer

  • Analytics Engineer job type Posted on: Oct 26, 2026
  • Analytics Engineer experience level Openkyber
  • Analytics Engineer employment type Atlanta, Georgia
  • Analytics Engineer employment type Onsite
  • Analytics Engineer salary Full-time

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Job Title :

Analytics Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred)

Role Overview: We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets. The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills: Databricks Delta Lake PySpark SQL Data Modeling Medallion Architecture Lakehouse Architecture Silver & Gold Layer Development Semantic Modeling Analytics Engineering Data Warehousing PowerBI

Nice to have Skills: Databricks Apps Unity Catalog dbt Microsoft Fabric Power BI Semantic Models Unstructured Data Ingestion AI / GenAI Data Preparation Vector Databases Azure AI Services RAG Framework Exposure Python Azure Data Factory

Job Description:

  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile: Senior Databricks Analytics Engineer Senior Data Engineer Lakehouse Engineer Analytics Engineer Databricks Consultant Databricks Data Architect (hands-on) Data Platform Engineer Azure Databricks Engineer Data Warehouse Engineer with Lakehouse experience

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 26, 2026

Reference Number:

95968-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred)

Role Overview: We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets. The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills: Databricks Delta Lake PySpark SQL Data Modeling Medallion Architecture Lakehouse Architecture Silver & Gold Layer Development Semantic Modeling Analytics Engineering Data Warehousing PowerBI

Nice to have Skills: Databricks Apps Unity Catalog dbt Microsoft Fabric Power BI Semantic Models Unstructured Data Ingestion AI / GenAI Data Preparation Vector Databases Azure AI Services RAG Framework Exposure Python Azure Data Factory

Job Description:

  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile: Senior Databricks Analytics Engineer Senior Data Engineer Lakehouse Engineer Analytics Engineer Databricks Consultant Databricks Data Architect (hands-on) Data Platform Engineer Azure Databricks Engineer Data Warehouse Engineer with Lakehouse experience

For applications and inquiries,

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