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Remote Databricks Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

$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

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 - 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

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 ...

Data Engineer - AWS/Databricks

$117K - $140K/yr

... data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks • Experience with data quality, validation frameworks, and storage ...

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 ...

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 ...

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

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 ...

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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 24, 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 July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Hadoop to Databricks Migration

Interon IT Solutions

Chantilly, VA • Remote

Full-time

Posted 18 days ago


Job description

Senior Data Engineer – Hadoop to Databricks Migration

Location: Remote
Employment Type: W2

Job Description

We are looking for an experienced Senior Data Engineer with strong hands-on experience in Hadoop to Databricks migration.

The candidate will be responsible for migrating legacy Hadoop, HDFS, Hive, and Spark workloads to Databricks and modernizing existing data pipelines using PySpark and Delta Lake.

Key Responsibilities

  • Migrate Hadoop and HDFS workloads to Databricks.
  • Analyze existing Hadoop, Hive, and Spark environments.
  • Migrate large-scale datasets and Hive tables to Databricks.
  • Convert legacy Hive, MapReduce, and Spark jobs to PySpark.
  • Build and maintain ETL/ELT pipelines using Databricks.
  • Develop data solutions using Python, PySpark, Spark SQL, and SQL.
  • Implement Delta Lake and Databricks Lakehouse solutions.
  • Perform source-to-target data mapping and transformation.
  • Validate migrated data for accuracy and completeness.
  • Troubleshoot data migration and pipeline issues.
  • Optimize Spark and PySpark jobs for performance.
  • Support migration testing, production deployment, and post-migration validation.
  • Work with architects and engineering teams during the migration process.
  • Document migration processes and technical solutions.

Required Skills

  • 8+ years of Data Engineering or Big Data experience.
  • Strong Hadoop to Databricks migration experience.
  • Strong experience with Hadoop, HDFS, Hive, and Spark.
  • Hands-on experience with Databricks.
  • Strong Python, PySpark, Spark SQL, and SQL skills.
  • Experience converting legacy Hadoop workloads to Databricks.
  • Strong ETL/ELT pipeline development experience.
  • Experience with Delta Lake and Databricks Lakehouse.
  • Experience with data validation and reconciliation.
  • Strong Spark performance tuning experience.
  • Experience with Git and CI/CD.
  • Strong troubleshooting and communication skills.

Preferred Skills

  • Cloudera or Hortonworks to Databricks migration experience.
  • Unity Catalog.
  • Databricks Workflows and Jobs.
  • Auto Loader and Delta Live Tables.
  • AWS, Azure, or GCP experience.
  • Hadoop modernization and decommissioning experience.