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Remote Databricks Data Engineer Jobs (NOW HIRING)

DataSpring

Data Engineer

$100K - $115K/yr

... Databricks, Azure SQL, and modern data engineering practices while contributing to enterprise data initiatives and discussions. The Data Engineer is a full-time, remote, exempt position and reports ...

University of Idaho Job

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information ... Supporting the Databricks lakehouse platform including Unity Catalog administration and pipeline ...

Govcio LLC

Data Engineer (Remote)

$175K - $185K/yr

Implement and manage linked services, mount points, and catalog configuration within Databricks and ... Proficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Rearc

Lead Data Engineer (Databricks)

$104K - $138K/yr

Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms. You're hands-on keyboard, you write code, review code, and set the engineering ...

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Remote Databricks Data Engineer information

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

As of Aug 7, 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:
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What job categories do people searching Remote Databricks Data Engineer jobs look for? The top searched job categories for Remote Databricks Data Engineer jobs are:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$117K - $140K/yr

Contractor

Re-posted 8 days ago

Job description

Job Title: Senior Data Engineer
Location: Minneapolis, MN(Remote)
Job Description:
AI Dojo Databricks SRE/Support Engineer
As Databricks SRE and Support Engineer, you will work on operations related to AI Dojo (AI/ML upskilling program developed by Optum/UHG) on Databricks. This individual contributor (IC) role requires experience on working on large-scale AI/ML platforms guaranteeing stability, reliability, scalability, and performance. Experience with modern Infrastructure and DevOps tools and paradigms, as well as proven hands-on knowledge with Databricks is a must.
Primary Responsibilities:
•    Continuous support: Provide continuous SRE support to thousands of geographically distributed users on the AI Dojo Databricks platform: respond to tickets, triage support, liaise with customers.  
•    Automation & DevOps: Improve existing Infrastructure as Code (IaC) according to best DevOps practices.
•    Systems Monitoring: Develop and maintain monitoring frameworks to timely respond to outages and other service interruptions.
Required Qualifications:
•    Bachelor’s degree in computer science, information technology, or a related field.
•    6+ years of infrastructure experience: Proven experience working on large-scale, cloud-based, enterprise-level software platforms and deep understanding of Databricks environment. In particular:
•    Experience building Github Actions pipelines including composite actions, OIDC federation for cloud provider identity acquisition, and use of environments and deployment controls
•    Experience building Databricks Asset Bundle and Terraform pipelines to manage and deploy Databricks Platform and Workspace resources
•    Fluency in Python, experience with the Databricks Python SDK to perform Workspace operations, and familiarity with PySpark and Delta Lake.
•    Deep familiarity with Databricks APIs, and use of the Databricks CLI for use provisioning Workspace identities, filesystem resources, and the querying of account and workspace level Users, Groups, and Service Principals
•    Strong understanding of security best practices and experience ensuring compliance with relevant regulatory frameworks.
•    3+ years of practical experience in Infrastructure-as-Code and CI/CD tools like Terraform, Git Actions and alike.
•    3+ years of experience working in support teams that are geographically distributed