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Kafka Engineer

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

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Job Title :

Kafka Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

W2 Only ( No C2C or 1099) No visa sponsership

Description: Hands-on experience with data Lakehouse patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats, metadata-driven ingestion, and analytics-ready data models. Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale. Expertise in real time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration. Experience with enterprise data governance frameworks, including data lineage, cataloging, business glossaries, and data quality controls. Ensures end-to-end traceability from source to consumption, improving data trust, auditability, and regulatory compliance.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93593-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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W2 Only ( No C2C or 1099) No visa sponsership

Description: Hands-on experience with data Lakehouse patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats, metadata-driven ingestion, and analytics-ready data models. Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale. Expertise in real time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration. Experience with enterprise data governance frameworks, including data lineage, cataloging, business glossaries, and data quality controls. Ensures end-to-end traceability from source to consumption, improving data trust, auditability, and regulatory compliance.

For applications and inquiries,

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