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Databricks Data Engineer Jobs in Cumming, GA (NOW HIRING)

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

$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

$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

$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 ...

Data Engineer 3

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Support DataBricks and Azure-based testing and quality monitoring workflows Required Qualifications

Lead Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Your Job As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help ... Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Lead the architecture and development of scalable data platforms on Databricks * Drive the ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Lead the architecture and development of scalable data platforms on Databricks * Drive the ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Data Engineer

Atlanta, GA ยท On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Showing results 21-40

Databricks Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

How much do databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks data engineer in Cumming, GA is $115,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,700.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Cumming, GA?

The most popular types of Databricks Data Engineer jobs in Cumming, GA are:

What are popular job titles related to Databricks Data Engineer jobs in Cumming, GA?

For Databricks Data Engineer jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Cumming, GA look for?

The top searched job categories for Databricks Data Engineer jobs in Cumming, GA are:

Infographic showing various Databricks Data Engineer job openings in Cumming, GA as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

Data Engineer IV

4pconsultinginc

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Contractor

Re-posted 23 days ago


Job description

Position: Data Engineer IV – Modern Enterprise / Lakehouse / AI-Assisted

Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID

Duration: 6 Months

Client:       Georgia Power


Position Overview

The Data Engineer IV is a modern enterprise data engineering professional responsible for building, optimizing, and maintaining scalable data platforms in a hybrid on-premises and cloud environment. This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse architecture, with Databricks as the strategic future-state platform.

The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based technologies and familiarity with AI-assisted development tools.


Core Responsibilities

Enterprise Data Engineering

  • Design, build, and maintain batch and/or streaming data pipelines
  • Develop and optimize ETL processes using SSIS or similar tools
  • Work with relational databases, data lakes, and NoSQL systems
  • Normalize and model data using:
    • Star schema
    • Dimensional modeling techniques
  • Transform raw data into curated, reusable datasets

Lakehouse & Modern Data Platforms

  • Develop and support solutions on Spark-based platforms
  • Work with Databricks Lakehouse architecture (primary future-state platform)
  • Support analytics and reporting via Power BI
  • Manage data orchestration workflows (e.g., Airflow or equivalent)
  • Implement CI/CD and Git-based workflows for data pipelines

AI-Assisted & Modern Engineering Practices

  • Leverage AI tools or copilots to assist with:
    • SQL development
    • Pipeline generation
    • Testing
    • Documentation
  • Explore automation or AI agents to streamline engineering workflows

Technical Skills Required

Core Technologies

  • Strong SQL and data modeling experience
  • Hands-on experience with:
    • SQL Server
    • SSIS (or similar ETL tools)
    • Power BI
  • Experience with Spark-based platforms
  • Working knowledge of Databricks (preferred strategic platform)

Data Engineering Competencies

  • Batch and real-time pipeline development
  • Data quality and validation practices
  • Relational and NoSQL systems
  • Orchestration tools (Airflow or equivalent)
  • CI/CD pipelines
  • Git-based version control

Soft Skills & Work Environment Fit

  • Strong written and verbal communication skills
  • Comfortable collaborating with engineers and managers in:
    • Electric utility
    • Operations-heavy domains
  • Able to operate in regulated, production-critical enterprise environments
  • Analytical, detail-oriented, and solution-focused

Experience Requirements

  • 5+ years in data engineering or related software engineering roles
  • Experience in enterprise environments with hybrid on-prem and cloud systems