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Remote Databricks Data Engineer Jobs (NOW HIRING)

Databricks Data Engineer

$117K - $140K/yr

We are seeking a Senior Databricks Data Engineer with strong experience designing, developing, and optimizing data engineering solutions using Databricks, PySpark, Delta Lake, and modern data ...

Databricks Data Engineer

$112K - $179K/yr

This role is 100% Remote. Other Responsibilities Include: * Build out and configure a dedicated ... Databricks Certified Data Engineer Associate or Professional certification Peraton Overview Peraton ...

New

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

New

Data Engineer (Databricks)

$117K - $140K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies ... Data Engineer will design, implement, and maintain data infrastructure solutions using Databricks ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Data Engineer - Databricks

NM · Remote

$117K - $140K/yr

Data Engineer - Databricks Responsibilities As a Data Engineer, your main tasks will involve: * Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.

Required : • 8-12 Years of experience in Azure Databricks Data Architect role in manufacturing • Strong Databricks/Azure engineering depth plus architecture and governance skills • Advanced ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

Data Engineer

$117K - $140K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Contributions We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for ...

While remote candidates will be considered, preference will be given to candidates located near a ... Familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost ...

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Remote Databricks Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do remote databricks data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
More about Remote Databricks Data Engineer jobs

What cities are hiring for Remote Databricks Data Engineer jobs?

Cities with the most Remote Databricks Data Engineer job openings:

What are the most commonly searched types of Databricks Data Engineer jobs?

The most popular types of Databricks Data Engineer jobs are:

What states have the most Remote Databricks Data Engineer jobs?

States with the most job openings for Remote Databricks Data Engineer jobs include:

Infographic showing various Remote Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Senior Databricks Data Engineer with strong experience designing, developing, and optimizing data engineering solutions using Databricks, PySpark, Delta Lake, and modern data engineering practices. The ideal candidate will have expertise in data pipelines, cloud data platforms, governance, automation, and CI/CD processes.

Roles & Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks and PySpark.
  • Build and optimize Delta Lake solutions using Delta Tables and Declarative Pipelines.
  • Implement Databricks Asset Bundles for deployment and lifecycle management.
  • Manage data governance, security, and permissions using Unity Catalog.
  • Configure and enforce cluster policies and platform governance standards.
  • Develop clean, maintainable, and reusable Python code.
  • Implement CI/CD workflows using Git/GitHub best practices.
  • Collaborate with cross-functional teams in an Agile environment.
  • Optimize data processing performance and troubleshoot data engineering issues.
  • Support automation initiatives using tools such as Terraform and Bash scripting.
Required Technical Skills
  • Strong hands-on experience with Databricks Data Engineering.
  • Expertise in PySpark, Delta Tables, and Declarative Pipelines.
  • Experience with Databricks Asset Bundles (DAB).
  • Strong knowledge of Unity Catalog, access controls, and permission management.
  • Experience with cluster policies, governance, and Databricks administration best practices.
  • Strong Python development skills with understanding of Object-Oriented Programming (OOP).
  • Knowledge of clean code principles and software development best practices.
  • Experience with CI/CD processes and automation.
  • Strong understanding of Git/GitHub, including pull requests and branching strategies.
  • Experience working in Agile development environments.
Preferred Skills
  • Strong SQL skills.
  • Experience with Terraform for infrastructure automation.
  • Familiarity with Bash scripting and command-line tools.