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Remote Databricks Developer Jobs in Conyers, GA (NOW HIRING)

Deloitte

Databricks Manager

Atlanta, GA · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Capstone Logistics LLC

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 ...

Capstone Logistics

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 ...

Capstone Logistics LLC

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 ...

Kiewit

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

Juvare

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

Juvare

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

SynergisticIT

AI / ML Engineer

Atlanta, GA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Java / Full Stack / DevOps Roles * Bachelor's or Master's in CS, CE, EE, IT, or IS * Java ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Conyers, GA

Remote Databricks Developer information

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

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

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are popular job titles related to Remote Databricks Developer jobs in Conyers, GA? For Remote Databricks Developer jobs in Conyers, GA, the most frequently searched job titles are:
Remote Databricks Developer jobs near you

Databricks Engineer

Turnbridge Technical Solutions

Atlanta, GA • Remote

Full-time

Posted 14 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