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Remote Databricks Jobs in Atlanta, GA (NOW HIRING)

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Sr. Data Engineer Azure Databricks - Platform Engineering Competitive salary/bonus Remote ***Sponsorship is not provided now or in the future.*** ***No Third-Party Resumes.*** Shift: Monday - Friday ...

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Sr. Data Engineer Azure Databricks - Platform Engineering Competitive salary/bonus Remote ***Sponsorship is not provided now or in the future.*** ***No Third-Party Resumes.*** Shift: Monday - Friday ...

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Sr. Data Engineer Azure Databricks - Platform Engineering Competitive salary/bonus Remote ***Sponsorship is not provided now or in the future.*** ***No Third-Party Resumes.*** Shift: Monday - Friday ...

Sr. Developer

Suwanee, GA · Remote

$50.75 - $67/hr

Although this is a remote position you will be required to interview one round onsite at a nearby ... Integrate LLM APIs (Anthropic Claude text + vision, Databricks MLflow) into production workflows ...

Sr. Developer

Suwanee, GA · Remote

$125K - $150K/yr

Although this is a remote position you will be required to interview one round onsite at a nearby ... Integrate LLM APIs (Anthropic Claude text + vision, Databricks MLflow) into production workflows ...

Data Engineer

Fayetteville, GA · On-site +1

$100K - $120K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/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 ...

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/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

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Remote Databricks information

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are the most commonly searched types of Databricks jobs in Atlanta, GA? The most popular types of Databricks jobs in Atlanta, GA are:
What job categories do people searching Remote Databricks jobs in Atlanta, GA look for? The top searched job categories for Remote Databricks jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Databricks jobs? Cities near Atlanta, GA with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in Atlanta, GA as of June 2026, with employment types broken down into 53% Full Time, 32% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Databricks Engineer

Turnbridge Technical Solutions

Atlanta, GA • Remote

Full-time

Posted 15 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