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Full Time Databricks Data Engineer Jobs in Atlanta, GA

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Location: Atlanta, GA (Hybrid) **Mode: FullTime **Note: Only USC and GC can apply ... Proficiency in Azure Data Factory, Databricks, PySpark, Python, and associated services ...

Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 2 days a Week) This Data Engineering Lead ... Factory, Databricks, PySpark, Python and other related services. • Build data pipelines and ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Experience with distributed data and computing tools such asSpark, Databricks, Hive, AWS EMR, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

... with Databricks Lakehouse as the primary future-state technology • Building, operating, and ... with data engineering tasks (SQL development, pipeline generation, testing, documentation) • ...

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong ... Azure Data Engineer or Azure Solutions Architect certifications. * Architecture Design: Design and ...

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

... Data Factory, Databricks, PySpark, Python, and associated services. - Demonstrated leadership experience in managing technical teams and driving successful project outcomes. - Strong problem-solving ...

Data Engineer (Azure)

Atlanta, GA · On-site +1

$110K - $132K/yr

You'll thrive here if you're fluent across Microsoft Fabric, Azure Synapse, and Databricks ... You communicate clearly - you can explain technical work to any audience Job Type Full-time (W2 ...

Data Engineer (Azure)

Atlanta, GA · Remote

$117K - $140K/yr

You'll thrive here if you're fluent across Microsoft Fabric, Azure Synapse, and Databricks ... You communicate clearly -- you can explain technical work to any audience Job Type Full-time (W2 ...

Sr Data Engineer

Duluth, GA · Hybrid

$130K - $135K/yr

Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem ... Advanced understanding of the Databricks platform, including notebook development, workflow/job ...

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Experience working with Databricks. * Experience with CI/CD tools and pipelines, such as Gi and ...

Showing results 41-60

Full Time Databricks Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do full time databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time databricks data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

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

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

What are popular job titles related to Full Time Databricks Data Engineer jobs in Atlanta, GA?

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

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The top searched job categories for Full Time Databricks Data Engineer jobs in Atlanta, GA are:

Infographic showing various Full Time Databricks Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,743 per year, or $60 per hour.

Principal Software Engineer - AI and Insights Platform

Digital Insight

Atlanta, GA • On-site

$129K - $174K/yr

Full-time

Posted 19 days ago


Job description

About NCR VOYIX

NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.
Position Summary

We are seeking a highly experienced Principal Software Developer to lead the design, development, and delivery of next-generation AI-powered applications and enterprise data platforms. This role requires deep expertise in Google Cloud Platform (GCP), Databricks, Generative AI/AI Agents, and modern Full Stack Development.

As a Principal Developer, you will provide technical leadership across architecture, engineering standards, cloud modernization, AI adoption, data platform integration, and application development. You will collaborate with product, data engineering, analytics, and business stakeholders to build scalable, secure, and high-performance solutions.

Key ResponsibilitiesAI & Machine Learning Solutions
  • Design and build enterprise-grade AI and Generative AI solutions leveraging LLMs, AI Agents, RAG architectures, vector databases, and prompt engineering.
  • Develop intelligent applications using Google AI services, Vertex AI, Gemini, LangChain, LangGraph, and related AI frameworks.
  • Drive AI platform architecture, governance, observability, and responsible AI practices.
  • Implement scalable AI inference and model deployment pipelines.
Full Stack Development
  • Lead development of cloud-native web applications and APIs.
  • Design and implement modern front-end solutions using React, Next.js, TypeScript, JavaScript, HTML5, and CSS.
  • Build scalable backend services using Java, Python, Node.js, or similar technologies.
  • Architect microservices and event-driven systems supporting enterprise-scale workloads.
  • Drive best practices in software craftsmanship, code quality, automated testing, and CI/CD.
Data Platform & Databricks
  • Design and develop modern data architectures on Databricks Lakehouse platform.
  • Build scalable ETL/ELT pipelines using Databricks, Spark, Delta Lake, and SQL.
  • Optimize data processing performance, governance, lineage, and cost management.
  • Integrate AI workloads with Databricks Data Intelligence Platform.
  • Databricks Genie
Google Cloud Platform (GCP)
  • Lead cloud architecture and implementation across GCP services.
  • Develop solutions using:
    • Vertex AI
    • BigQuery
    • Cloud Run
    • Cloud Functions
    • GKE (Google Kubernetes Engine)
    • Pub/Sub
    • Cloud Storage
    • Cloud SQL
    • IAM & Security Services
  • Establish cloud architecture standards, reliability, scalability, and security frameworks.
Technical Leadership
  • Serve as a principal technical advisor and mentor to engineering teams.
  • Define architecture standards, development practices, and technology roadmaps.
  • Review solution designs and provide guidance on scalability, resiliency, and maintainability.
  • Partner with Product Management, Data Engineering, Analytics, and Architecture teams to deliver business outcomes.
  • Lead technical evaluations, POCs, and adoption of emerging AI and cloud technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 10+ years of software development experience with enterprise applications.
  • 5+ years of cloud-native application development experience.
  • 3+ years of hands-on experience with Databricks and Spark ecosystem.
  • 3+ years of experience building AI/ML or Generative AI solutions.
  • Strong expertise in GCP architecture and services.
  • Strong full-stack development experience using modern web technologies.
Technical Skills
  • Cloud: GCP, Kubernetes, Docker, Cloud Run, GKE, BigQuery, Vertex AI
  • Data Platforms: Databricks, Delta Lake, Apache Spark, SQL, Data Lakehouse Architecture
  • AI/ML: Generative AI, LLMs, RAG, Vector Databases, LangChain, LangGraph, AI Agents
  • Backend: Python, Java, Node.js, REST APIs, Microservices
  • Frontend: React, Next.js, TypeScript, JavaScript, HTML5, CSS
  • DevOps: GitHub Actions, Jenkins, Terraform, CI/CD, Infrastructure as Code
  • Databases: SQL Server, PostgreSQL, BigQuery, NoSQL Platforms
Preferred Qualifications
  • Experience developing AI-powered enterprise applications.
  • Experience with retail, payments, commerce, or enterprise analytics platforms.
  • Knowledge of MLOps, Model Monitoring, AI Governance, and Observability.
  • GCP Professional Cloud Architect or Professional Machine Learning Engineer certification.
  • Databricks Certified Data Engineer or Architect certification.
  • Experience leading globally distributed engineering teams.
  • Experience with large-scale data modernization and cloud migration programs.
Leadership Competencies
  • Strategic thinker with strong architectural vision.
  • Excellent communication and stakeholder management skills.
  • Ability to influence technical decisions across multiple teams.
  • Strong mentoring and team development capabilities.
  • Results-driven with a focus on innovation, quality, and operational excellence.
What Success Looks Like
  • Deliver scalable AI-enabled products and platforms.
  • Establish engineering best practices and architectural standards.
  • Accelerate cloud and data modernization initiatives.
  • Improve developer productivity through automation and platform engineering.
  • Drive innovation through AI, Databricks, and GCP technologies while delivering measurable business value.

Offers of employment are conditional upon passage of screening criteria applicable to the job

EEO Statement

Integrated into our shared values is NCR Voyix's commitment to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.

Statement to Third Party Agencies
To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes

"When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.comemail domain."