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Remote Databricks Data Engineer Jobs (NOW HIRING)

... Data Engineer Location: Remote Experience: Strong experience with Databricks Duration; 6 Months Contract to Hire We are looking for a highly skilled and experienced Databricks Developer to join our ...

... Data Engineer Location: Remote Experience: Strong experience with Databricks Duration; 6 Months Contract to Hire We are looking for a highly skilled and experienced Databricks Developer to join our ...

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 (Azure, Fabric, Databricks)

$117K - $140K/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 ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/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 ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

... MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer : Python, PySpark, Databricks with UC, Azure ...

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ...

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote ... Develop and maintain data pipelines using PySpark and Databricks * Work within a metadata-driven ...

Data Engineer

$117K - $140K/yr

The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Data Engineer

$117K - $140K/yr

Remote (U.S.) Employment Type: Contract About the Opportunity We are seeking an experienced Senior ... Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

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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 Jul 4, 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 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 June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
JB061718 - Databricks Developer/ Data Eng

JB061718 - Databricks Developer/ Data Eng

USM

Remote

Contractor

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Job description

  • Start Date: Interview Types
  • Skills Databricks Developer.. Visa Types H1B, Green Card, US ..

  • Job Title: Databricks Developer/ Data Engineer
    Location: Remote
    Experience: Strong experience with Databricks
    Duration; 6 Months Contract to Hire
    Job Description:
    We are looking for a highly skilled and experienced Databricks Developer to join our team on a full-time basis. The ideal candidate will have a strong background in developing and managing data solutions using Databricks and cloud data platforms.
    Key Responsibilities:
    • Design, develop, and optimize data pipelines and workflows on Databricks.
    • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements.
    • Implement best practices for performance, scalability, and security on Databricks.
    • Write efficient, reusable, and reliable code for large-scale data processing.
    • Troubleshoot and resolve data pipeline issues and optimize existing solutions.
    • Stay updated with the latest features and capabilities of Databricks and related technologies.
    Required Skills:
    • Proven experience as a Databricks Developer or Data Engineer working extensively with Databricks.
    • Strong programming skills in Python, Scala, or SQL within the Databricks environment.
    • Experience with cloud platforms (Azure, AWS, or GCP) is a plus.
    • Knowledge of data modeling, ETL processes, and data warehousing concepts.
    • Excellent problem-solving skills and attention to detail.
    • Ability to work independently in a remote setting.
    Nice to Have:
    • Experience with Spark, Delta Lake, or other big data technologies.
    • Familiarity with CI/CD pipelines and DevOps practices.
    • Relevant certifications in Databricks or cloud technologies.