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Databricks Engineer

  • Databricks Engineer job type Posted on: Oct 12, 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 :

Job Title Data Engineer - Azure / Databricks (Onsite):

Location Bellevue, WA Duration 12 Months Coverage (NOP) 2 Interview Type Virtual & In-Person Note Onsite is a must 5x a week Description Strong hands-on experience designing and developing enterprise-scale data engineering solutions Hands on experience with Databricks and Apache Spark for large-scale data processing Strong experience with Microsoft Azure data platforms and services Hands on experience designing and working with Delta Lake architectures Hands on experience with Microsoft Fabric and/or modern Microsoft analytics environments Strong SQL skills Hands on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources Experience working with structured, semi-structured, and distributed datasets Understanding of modern data architecture, data modeling, data quality, and data integration patterns Experience supporting analytical and reporting solutions, including Power BI Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost Demonstrated ability to translate business objectives into technical requirements and implementation plans Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team Top Skills Deliverables: -Process Flows -Mentor and Knowledge transfer to client project team members -Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility -Participate in data conversion and data maintenance -Provide best practice and industry specific solutions -Advise on and provide alternative (out of the box) solutions -Provide thought leadership as well as hands on technical configuration/development as needed. -Participate as a team member of the functional team -Perform other duties as assigned.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

106563-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title Data Engineer - Azure / Databricks (Onsite):

Location Bellevue, WA Duration 12 Months Coverage (NOP) 2 Interview Type Virtual & In-Person Note Onsite is a must 5x a week Description Strong hands-on experience designing and developing enterprise-scale data engineering solutions Hands on experience with Databricks and Apache Spark for large-scale data processing Strong experience with Microsoft Azure data platforms and services Hands on experience designing and working with Delta Lake architectures Hands on experience with Microsoft Fabric and/or modern Microsoft analytics environments Strong SQL skills Hands on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources Experience working with structured, semi-structured, and distributed datasets Understanding of modern data architecture, data modeling, data quality, and data integration patterns Experience supporting analytical and reporting solutions, including Power BI Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost Demonstrated ability to translate business objectives into technical requirements and implementation plans Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team Top Skills Deliverables: -Process Flows -Mentor and Knowledge transfer to client project team members -Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility -Participate in data conversion and data maintenance -Provide best practice and industry specific solutions -Advise on and provide alternative (out of the box) solutions -Provide thought leadership as well as hands on technical configuration/development as needed. -Participate as a team member of the functional team -Perform other duties as assigned.

For applications and inquiries,

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