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Remote Databricks Data Engineer Jobs (NOW HIRING)

Onebridge

Sr. Data Engineer - Databricks

$117.20K - $140.70K/yr

We have an exciting opportunity for a highly skilled Sr. Data Engineer - Databricks to join our innovative and dynamic team. Sr. Data Engineer - Databricks | About You As a Sr. Data Engineer ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/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 ...

1872 Consulting

Azure Data Architect (Dalas)

Dallas, TX · Remote

$145K - $150K/yr

The environment is remote-first, collaborative, and emphasizes hands-on technical excellence within ... Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in ...

CyberMedia Technologies

Data Engineer

$117.20K - $140.70K/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 ...

Addepto

$106K - $127.20K/yr

Jakub Bzdęga Senior Data Engineer - Addepto Data Engineer (Databricks) More than work Remote work possibility Challenging projects Autonomy at work Real impact on the company Knowledge sharing ...

Azumo

$106K - $127.20K/yr

... Engineer to develop and enhance data and analytics infrastructure. The position is fully remote ... The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/yr

... Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Saxon Global

(data engineer)

Richmond, VA · Remote

$113.30K - $136.10K/yr

This is a high-impact, remote contract role with strong potential for extension-ideal for engineers ... Work in a Databricks-heavy environment with SQL, Python, Delta Lake , and cloud platforms (Azure ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126.20K - $151.60K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

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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 May 28, 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, and why are they important?

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 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.

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.
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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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 94% Physical, and 6% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Data Engineer - Databricks

Sr. Data Engineer - Databricks

Onebridge

Remote

$117.20K - $140.70K/yr

Full-time

Posted 15 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Sr. Data Engineer - Databricks to join our innovative and dynamic team.
Sr. Data Engineer - Databricks | About You
As a Sr. Data Engineer - Databricks, you are responsible for designing, building, and maintaining scalable data solutions that enable analytics, reporting, and data-driven decision making across the organization. You bring deep experience working with modern data platforms and enjoy transforming complex data into reliable, high-quality datasets. You thrive in collaborative environments, partnering with analytics, engineering, and business teams to deliver impactful data pipelines. You are comfortable working in cloud-based ecosystems and consistently apply best practices in data engineering, data governance, and performance optimization. You take ownership of data solutions from design through deployment and ongoing optimization.
Sr. Data Engineer - Databricks | Day-to-Day
  • Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
  • Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
  • Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
  • Ensure data quality, reliability, and performance across large-scale and complex datasets.
  • Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions.
  • Apply data engineering best practices related to scalability, security, monitoring, and maintainability.
  • Support the continuous improvement of data architecture, pipeline performance, and operational stability in a cloud environment.

Sr. Data Engineer - Databricks | Skills & Experience
  • 7+ years of experience in data engineering or a related technical role.
  • Strong hands-on experience with Databricks and Apache Spark are required.
  • Experience working with Delta Lake and Unity Catalog for data management and governance.
  • Solid understanding of data pipeline design, ETL/ELT patterns, and data modeling concepts.
  • Experience working with cloud data platforms such as Azure, AWS, or GCP.
  • Proven ability to design scalable, reliable, and high-performing data solutions.
  • Strong problem-solving skills and the ability to work effectively in collaborative, fast-paced environments.

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