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Intern Databricks Data Engineer Jobs in Georgia (NOW HIRING)

Azure Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Lead Data Engineer

Atlanta, GA ยท On-site

$125 - $150/hr

Job Summary Join us as a Lead Data Engineer on the Corporate Data Technology Team. Become an ... Develop secure, highโ€‘quality production code and data pipelines on Databricks, reviewing and ...

Data Engineer - Senior Manager

Atlanta, GA ยท On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer IV

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, ... Work with Databricks Lakehouse architecture (primary future-state platform) * Support analytics and ...

Data Engineer III

Atlanta, GA ยท On-site

$110K - $132K/yr

Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required. Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines

Azure Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

W2 Candidates Only We are seeking an experienced Azure Data Engineer to design, develop, and ... Databricks * PySpark * Delta Lake * Microsoft Fabric * Power BI * Terraform * Azure certification

Data Engineer

Alpharetta, GA ยท On-site

$50 - $55/hr

Experience with Databricks platform on Azure including Unity Catalog (catalogs/schemas/tables ... Qualification And Education: * 10-12 years of professional experience in data engineering or ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

The Data & Analytics organization empowers AXIS to make informed, datadriven decisions by delivering trusted, scalable, and wellgoverned data platforms. As a Databricks Engineer, you will work ...

Showing results 21-40

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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The most popular types of Databricks Data Engineer jobs in Georgia are:

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For Intern Databricks Data Engineer jobs in Georgia, the most frequently searched job titles are:

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What cities in Georgia are hiring for Intern Databricks Data Engineer jobs?

Cities in Georgia with the most Intern Databricks Data Engineer job openings:

Data Analytics Engineer IV. 4P/796

Atlanta, GA โ€ข On-site

$125 - $150/hr

Other

Re-posted 4 days ago


Job description

Position: Data Analytics Engineer IV

Location: 241 Ralph McGill Blvd., Atlanta, GA HYBRID
Duration:3 Years

Client:Georgia Power
Employment Type:W-2 Only

Georgia Power is seeking an experienced Data Analytics Engineer IV to design, build, and support scalable data platforms, enterprise data pipelines, application integrations, and analytics solutions for Power Delivery.

This role will work with Databricks, Azure Data Factory, Kafka, APIs, Microsoft Power Platform, OutSystems, and cloud-based lakehouse technologies to deliver trusted, governed, and reusable data products.

Key Responsibilities
  • Design, develop, and maintain enterprise ETL and ELT data pipelines.
  • Build ingestion frameworks for structured, semi-structured, batch, and streaming data.
  • Develop Databricks notebooks, workflows, pipelines, and reusable data products.
  • Ingest data using Azure Data Factory, Kafka, CDC technologies, APIs, files, and databases.
  • Build and maintain Bronze, Silver, and Gold data layers within the Databricks Lakehouse.
  • Develop solutions using PySpark, Spark SQL, Python, SQL, Delta Lake, and Unity Catalog.
  • Implement data-quality checks, monitoring, exception handling, lineage, and metadata.
  • Optimize lakehouse performance, scalability, and cloud costs.
  • Build and enhance business applications using Power Apps, Power Automate, Power Platform, and OutSystems.
  • Integrate Databricks data products with business applications and operational workflows.
  • Implement CI/CD practices using GitHub and Azure DevOps.
  • Support architecture reviews, solution design, governance, security, and documentation.
  • Partner with business users, analysts, developers, and technology teams.
Required Qualifications
  • Bachelorโ€™s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field.
  • 3โ€“7 years of experience in data engineering, analytics engineering, or software development.
  • Experience developing enterprise data pipelines and cloud-based integrations.
  • Strong experience with ETL/ELT, data orchestration, data warehousing, data lakes, and lakehouse architectures.
  • Hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
  • Proficiency in Python and SQL.
  • Experience with Azure Data Factory, APIs, Kafka, CDC technologies, and SQL Server.
  • Experience with GitHub and Azure DevOps.
  • Experience with Power Apps, Power Automate, Power Platform, or OutSystems.
  • Strong analytical, communication, collaboration, and problem-solving skills.
Preferred Qualifications
  • Utility or Power Delivery industry experience.
  • Experience supporting transmission or distribution analytics.
  • Real-time data-streaming experience.
  • Knowledge of AI and machine-learning enablement using Databricks.
  • Experience integrating Power BI with Databricks, including DirectQuery architectures.
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