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Remote Databricks Data Engineer Jobs (NOW HIRING)

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

$120K - $140K/yr

We are seeking a Databricks Data Engineer to join our growing team. In this role, you'll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake) * Delta Lake ACID transactions, Z ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Databricks Runtime (Apache Spark, Spark SQL, MLflow, Delta Lake) * Delta Lake ACID transactions, Z ...

campus4tech

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 ...

Purple Drive

Senior Data Engineer -Azure

Dallas, TX · Remote

$105K - $143K/yr

Role- Senior Data Engineer -Azure Location- Remote Experience: 8-12 Years Role Summary Seeking a ... Experience with Azure tools such as Databricks, Data Factory, Event Hub, Synapse, Delta Lake ...

Purple Drive

Senior Data Engineer (Databricks)

Chicago, IL · Remote

$107K - $147K/yr

Chicago, IL / Remote Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in Databricks, Apache Spark, SQL, and cloud-based ETL pipelines . The ...

KeyLogic, LLC

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

Onebridge

Sr. Data Engineer - Databricks

$117K - $140K/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

$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 ...

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United ... Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest ...

CyberMedia Technologies

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 ...

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

As of Jun 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, 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:
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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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Databricks Data Engineer - Remote with Travel 25%

Databricks Data Engineer - Remote with Travel 25%

K Anand Corporation

Houston, TX • Remote

$109K - $131K/yr

Other

Posted 6 hours ago

Job description

Role- Databricks Data Engineer

Work Location: Houston (TX)- Remote with Travel

Skills-

Data Engineer

We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project.

What You Bring

- 4+ years of experience working in data warehousing systems

- 2+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development

- 2+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- 1+ yrs work experience in one of cloud platforms: Azure, AWS or Google Cloud Platform

- Good exposure to Git version control, and CI/CD best practices

- Experience in developing data ingestion pipelines from ERP systems (Oracle Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors is a plus

- Experience in a fast-paced, ever-changing and growing environment

- Understanding of metadata management, data lineage, and data glossaries is a plus.

What You'll Do

- Involve in design and development of enterprise data solutions in Databricks, from ideation to deployment, ensuring robustness and scalability.

- Work with Sr. Data Engineer to build, and maintain robust and scalable data pipeline architectures on Databricks using PySpark and SQL

- Assemble and process large, complex ERP datasets to meet diverse functional and non-functional requirements.

- Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance data solution quality

- Focus on improving performance, reliability, and maintainability of data pipelines.

- Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large datasets

Qualifications

- Bachelors Degree in Computer Science, Engineering, Statistics, Finance or equivalent experience

- Good communication skills

Apply