ZipRecruiter

Log In

2

Remote Databricks Jobs in Ashburn, VA (NOW HIRING)

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

HRC Global Services

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 ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Demonstrated experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems LOCATION * Remote - Eastern Standard Time zone - preferred but not ...

Booz Allen Hamilton, Inc.

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 ...

DoiT

Senior Technical Content Writer

Washington, DC · Remote

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 ...

System One

Data Governance Analyst

Merrifield, VA · Remote

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 ...

New

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

Guidehouse

AI Prototype Deployment Engineer

Mclean, VA · Remote

$85K - $141K/yr

All tracks will work within cloud-native environments, primarily Databricks, to ensure prototypes ... Ability to work within remote or government-site environments as needed (Washington, DC or Northern ...

Guidehouse

AI Prototype Deployment Engineer

Washington, DC · Remote

$85K - $141K/yr

All tracks will work within cloud-native environments, primarily Databricks, to ensure prototypes ... Ability to work within remote or government-site environments as needed (Washington, DC or Northern ...

next page

Showing results 1-20

All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Ashburn, VA

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 are popular job titles related to Remote Databricks jobs in Ashburn, VA?

For Remote Databricks jobs in Ashburn, VA, the most frequently searched job titles 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:

Remote Databricks jobs near you
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.

Databricks Platform Engineer

Agility Technologies Inc

Reston, VA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Role Description:
 
The Databricks Platform Engineer will build, maintain, and optimize the enterprise data lakehouse infrastructure. The ideal candidate will have strong DevOps and data engineering skills, with expertise in automating Databricks platform operations, ensuring reliability, and enabling data teams to efficiently leverage the platform. You will be responsible for platform provisioning, monitoring, cost optimization, and providing technical support for Databricks 
workloads.
 
Key Responsibilities include 
 
  • Build and maintain Databricks workspace infrastructure across development, staging, and production environments 
  • Design, implement, and maintain Databricks platforms in cloud environments (Azure, AWS, or GCP), ensuring scalability, reliability, and cost-efficiency. Manage and optimize Databricks clusters, including autoscaling, resource allocation, monitoring, and troubleshooting.
  • Oversee the deployment and configuration of Databricks workspaces, including user management, access controls, and workspace policies. 
  • Collaborate with infrastructure and DevOps teams to implement CI/CD pipelines for deploying Databricks workflows and notebooks. Monitor and manage performance, logging, and system health of the Databricks platform. Implement robust data security and governance measures in compliance with organizational policies and standards. 
  • Work with cross-functional teams to troubleshoot and resolve platform-related issues. 
  • Automate repetitive tasks, such as provisioning, upgrades, and scaling, using Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation. 
  • Enable data engineers and data scientists by providing support for integrating Databricks with various data sources and tools.
  • Stay up-to-date with the latest Databricks features, updates, and best practices to ensure the platform meets evolving business needs.
Minimum Skills:
 
  • 5+ years of experience in platform engineering, cloud infrastructure, or IT operations, with 2+ years of hands-on experience managing Databricks environments.
  • Strong knowledge of Databricks administration, including cluster setup, workspace management, and job orchestration.
  • Proficiency in Apache Spark for distributed data processing.
  • Hands-on experience with cloud platforms (Azure Government, AWS GovCloud, or GCP Public Sector).
  • Proficiency in scripting and automation with Python, Bash, or PowerShell.
  • Experience with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or ARM templates.
  • Solid understanding of cloud networking concepts, such as VPCs, subnets, security groups, and private endpoints.
  • Familiarity with federal compliance frameworks, including FedRAMP, FISMA, NIST 800-53, and CMMC.
  • Experience implementing data security best practices, such as RBAC, encryption (at rest and in transit), and audit logging.
  • Ability to set up and use monitoring and logging tools (e.g., Datadog, AWS CloudWatch, or Azure Monitor) to ensure platform stability.
  • Proficiency in diagnosing and resolving cluster performance, job failures, and other technical issues.
 Preferred Skills
  • Databricks Certified Associate or Platform Administrator certification
  • Knowledge of Unity Catalog administration and data governance implementation
  • Experience with cost optimization strategies for Databricks, including efficient resource allocation, autoscaling, and workload management.
  • Advanced knowledge of performance tuning for Databricks clusters and Spark jobs.
  • Implementation of fine-grained access controls and data masking to comply with federal data protection standards.
  • Experience implementing single sign-on (SSO), multi-factor authentication (MFA), and data retention policies for secure environments.
  • Hands-on experience building automation scripts for platform provisioning, monitoring, and maintenance.
  • Familiarity with automation frameworks and tools that integrate with cloud platforms (e.g., AWS Lambda, Azure Logic Apps, Google Cloud Functions).
  • Knowledge of ETL/ELT pipelines and experience integrating Databricks with data warehousing solutions like Redshift, Snowflake, or BigQuery.
  • Familiarity with real-time data streaming technologies, such as Kafka, AWS Kinesis, or Azure Event Hubs
  • Federal cloud certifications such as AWS Certified Solutions Architect – Associate/Professional, Azure Administrator Associate, or Google Cloud Associate Cloud Engineer.
  • Public Trust (or higher) clearance eligibility; prior federal client experience.
 

This is a remote position.