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Lead Data Engineer

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

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Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Senior Data Engineer (Snowflake, AWS & DataStage) Location : Remote / 2-3 days Hybrid if candidate is near Brillio office location (TX, NY, Bay area, CA) W2 (Independent consultants)

We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain scalable data warehouse solutions and data pipelines.

Key Responsibilities:
  • Design and develop ETL/ELT pipelines using DataStage, Snowflake, and dbt.
  • Build and optimize cloud-based data solutions on AWS.
  • Develop complex SQL queries and data transformations.
  • Implement data warehouse and Data Vault modeling solutions.
  • Ensure data quality, performance, and scalability.
  • Collaborate with cross-functional teams to deliver business data requirements.
Required Skills:
  • Snowflake
  • DataStage
  • dbt or any ELT tool
  • AWS Cloud
  • Strong SQL Coding
  • Data Warehousing Concepts
  • Data Vault Modeling
Nice to Have:
  • Netezza
  • SQL Server

Experience 5+ years of Data Engineering experience with expertise in cloud-based data platforms and data warehousing.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93637-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior Data Engineer (Snowflake, AWS & DataStage) Location : Remote / 2-3 days Hybrid if candidate is near Brillio office location (TX, NY, Bay area, CA) W2 (Independent consultants)

We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain scalable data warehouse solutions and data pipelines.

Key Responsibilities:
  • Design and develop ETL/ELT pipelines using DataStage, Snowflake, and dbt.
  • Build and optimize cloud-based data solutions on AWS.
  • Develop complex SQL queries and data transformations.
  • Implement data warehouse and Data Vault modeling solutions.
  • Ensure data quality, performance, and scalability.
  • Collaborate with cross-functional teams to deliver business data requirements.
Required Skills:
  • Snowflake
  • DataStage
  • dbt or any ELT tool
  • AWS Cloud
  • Strong SQL Coding
  • Data Warehousing Concepts
  • Data Vault Modeling
Nice to Have:
  • Netezza
  • SQL Server

Experience 5+ years of Data Engineering experience with expertise in cloud-based data platforms and data warehousing.

For applications and inquiries,

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