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Remote Azure Databricks Jobs in Atlanta, GA (NOW HIRING)

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own end-to-end architecture for the Databricks-on-Azure lakehouse platform , including workspace ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own end-to-end architecture for the Databricks-on-Azure lakehouse platform , including workspace ...

JLL

Senior Analytics Specialist

Atlanta, GA · Remote

Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

Humana

Senior Applied AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure ... This position's work style is remote from any of the locations listed below. You must reside in ...

Humana

Senior Applied AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure ... This position's work style is remote from any of the locations listed below. You must reside in ...

Booz Allen Hamilton, Inc.

AL/ML Engineer

Atlanta, GA · On-site +1

... as Azure, Databricks, or Domino * Ability to implement AI agent architectures, retrieval ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

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All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Atlanta, GA

Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in Atlanta, GA? The most popular types of Azure Databricks jobs in Atlanta, GA are:
What are popular job titles related to Remote Azure Databricks jobs in Atlanta, GA? For Remote Azure Databricks jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Atlanta, GA look for? The top searched job categories for Remote Azure Databricks jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Azure Databricks jobs? Cities near Atlanta, GA with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in Atlanta, GA as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
Senior Azure Integration Engineer (Remote Opportunity)

Senior Azure Integration Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and implementation of the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) platform for the Department of Veterans Affairs (VA). The Technical Lead will provide hands-on leadership for Azure-based cloud integration, enterprise data pipelines, and secure interoperability with Department of Defense (DoD) systems while collaborating with cross-functional teams throughout the software development lifecycle.

The ideal candidate will work closely with Data Scientists, Solutions Analysts, Architects, Product Owners, and customer stakeholders to design scalable cloud-native solutions using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and modern DevSecOps practices. This position requires strong technical leadership, deep Azure expertise, and experience building enterprise integration solutions in highly regulated environments.

The candidate must reside within the continental US.

Responsibilities

  • Serve as the technical lead for Azure integration and cloud engineering activities, providing architectural guidance and technical oversight.
  • Design, develop, and maintain Azure Data Factory pipelines, Azure Databricks solutions, and Azure Data Lake Storage Gen2 environments for enterprise-scale data ingestion and transformation.
  • Develop secure REST API integrations with the DoD ILER platform and other enterprise systems, ensuring resiliency, scalability, and operational excellence.
  • Establish engineering standards, coding practices, and design patterns while mentoring developers through code reviews and technical guidance.
  • Collaborate with DevSecOps teams to implement CI/CD pipelines, infrastructure automation, monitoring, logging, alerting, and production readiness activities.
  • Produce technical documentation, implementation guides, architecture artifacts, and present technical solutions to leadership and VA stakeholders.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 10+ years of software engineering or data engineering experience.
  • 5+ years of experience designing and implementing Microsoft Azure cloud solutions, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Strong experience developing enterprise integration solutions using REST APIs, cloud-native services, ETL/ELT architectures, and large-scale data pipelines.
  • Expertise with Python, PySpark, SQL, JSON, Git, Azure DevOps, and Azure Monitor.
  • Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Demonstrated experience leading engineering teams or serving as a technical lead on enterprise software projects, with the ability to collaborate effectively across cross-functional teams.

Additional Qualifications

  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies.
  • Microsoft Azure certifications such as Azure Developer Associate, Azure Solutions Architect Expert, or Azure Data Engineer Associate are highly desirable.
  • Experience with Azure API Management, Azure Functions, Event Grid, Event Hubs, Service Bus, healthcare or military systems integration, and knowledge of NIST, FISMA, FedRAMP, and secure cloud architecture principles.

Benefits

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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