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Remote Azure Databricks Jobs in Georgia (NOW HIRING)

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110.10K - $132.20K/yr

Location This is a remote position that may require some travel. #LI Responsibilities Power BI ... Azure Databricks (Spark / PySpark / Spark SQL) * Azure Data Factory * SQL Server / Azure SQL

Deloitte

Databricks Engineer

Atlanta, GA · On-site +1

Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Atlanta, GA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Cardinal Health

Senior Data/AI Engineer

Atlanta, GA · Remote

$101.90K - $138.50K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ...

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Remote Azure Databricks information

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 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.

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.

What are the most commonly searched types of Azure Databricks jobs in Georgia? The most popular types of Azure Databricks jobs in Georgia are:
What are popular job titles related to Remote Azure Databricks jobs in Georgia? For Remote Azure Databricks jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Georgia look for? The top searched job categories for Remote Azure Databricks jobs in Georgia are:
What cities in Georgia are hiring for Remote Azure Databricks jobs? Cities in Georgia with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you

Databricks Engineer

Turnbridge Technical Solutions

Atlanta, GA • Remote

Full-time

Posted 3 days ago

Job description

Databricks Engineer

Location: Remote (U.S.)

Employment Type: Full-Time / Contract


About TURNBRIDGE

TURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We partner with organizations to solve complex data, cloud, and engineering challenges—quickly, efficiently, and with unmatched quality. Our team focuses on measurable impact, fast feedback loops, and a streamlined hiring experience that gets the right people in the right seats.


Role Overview

We are seeking an experienced Databricks Engineer with deep expertise in big data engineering, Azure Databricks, and PySpark. This role will focus on building scalable data platforms, optimizing data pipelines, and enabling advanced analytics solutions within a modern cloud architecture. You’ll collaborate with cross-functional teams in an Agile environment to deliver high-quality, production-grade data engineering solutions.

Responsibilities

  • Collaborate with stakeholders in an Agile environment to understand data requirements and design scalable data engineering solutions.
  • Architect, build, and optimize data pipelines leveraging Azure Databricks, PySpark, and Delta technologies.
  • Implement best practices for data governance, quality, and security across data platforms.
  • Provide guidance and subject-matter expertise on medallion architecture, Delta Live Tables (DLT), and Unity Catalog.
  • Lead and participate in code reviews, documentation, and knowledge-sharing sessions.
  • Drive continuous improvement and identify opportunities to enhance information management and data processes.
  • Build strong relationships with stakeholders responsible for analytics, data products, and performance management.

Required Qualifications

  • 8+ years of enterprise data engineering experience, including design and build of large-scale data platforms.
  • Extensive hands-on experience with Azure Databricks fundamentals, architecture, cluster design, and SQL Warehouse optimization.
  • Strong proficiency in PySpark for building batch and real-time data pipelines.
  • Deep understanding of Data Lakes, Data Warehouses, and Data Product architecture.
  • Experience delivering solutions for migrations, batch processing, and streaming ingestion.
  • Experience or knowledge integrating data engineering workflows with metadata management tools (e.g., Collibra).

Required Technical Skills

  • Databricks
  • PySpark
  • Data Modeling
  • Azure Data Engineering
  • (Optional) Collibra – metadata ingestion, lineage mapping, data quality integration

Nice to Have

  • Strong client-facing communication and stakeholder management skills
  • Passion for continuous learning in a fast-moving technology environment
  • Experience with modern data governance frameworks or platform engineering concepts

What We’re Looking For

The ideal candidate brings:

  • A minimum of 7 years of experience building analytics and engineering solutions
  • Approximately 5 years of hands-on experience with Azure Databricks and PySpark
  • Deep technical expertise, intellectual curiosity, and a drive to stay at the forefront of cloud and data engineering technologies