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Remote Databricks Jobs in Ashburn, VA (NOW HIRING)

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

United States (Hybrid/Remote as per project requirements) Experience: 10+ Years Employment Type ... Databricks * Unity Catalog * Delta Live Tables * Collibra * Alation * Informatica * Palantir ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Data Scientist, Mid

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245790 Location: McLean,VA,US Share job via: Share Data Scientist ... You will leverage Databricks and other advanced analytics tools to refine pipelines, automate ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

This remote role is ideally based in the United States, with overlap with US business hours (ET-PT ... Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong ... Databricks, ADLS, Delta Lake, Azure Data Factory (ADF), Advanced SQL, Python and PySpark Ref: #851 ...

Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ... Familiarity with Databricks or similar cloud-based distributed database technologies * Familiarity ...

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Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are the most commonly searched types of Databricks jobs in Ashburn, VA?

The most popular types of Databricks jobs in Ashburn, VA are:

What job categories do people searching Remote Databricks jobs in Ashburn, VA look for?

The top searched job categories for Remote Databricks jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Databricks jobs?

Cities near Ashburn, VA with the most Remote Databricks job openings:

Infographic showing various Remote Databricks job openings in Ashburn, VA as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Data Engineer - Hadoop to Databricks Migration

Chantilly, VA • Remote

Full-time

Re-posted 26 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.