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Remote Databricks Jobs in Washington, DC (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 ...

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 ...

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 ...

New

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 ...

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 ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation * LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables ...

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

Showing results 21-40

Remote Databricks information

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.

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 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.

What are the most commonly searched types of Databricks jobs in Washington, DC?

The most popular types of Databricks jobs in Washington, DC are:

What are popular job titles related to Remote Databricks jobs in Washington, DC?

For Remote Databricks jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Databricks jobs in Washington, DC look for?

The top searched job categories for Remote Databricks jobs in Washington, DC are:

Infographic showing various Remote Databricks job openings in Washington, DC as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.

Senior Data Architect

HRC Global Services

Reston, VA • Remote

$68.75 - $92/hr

Full-time

Posted 23 days ago


Job description

Senior Data Architect

Location: United States (Hybrid/Remote as per project requirements)

Experience: 10+ Years

Employment Type: Full-Time

About the Role

We are seeking an experienced Senior Data Architect to lead the design and architecture of enterprise-scale cloud data platforms supporting mission-critical analytics and business intelligence initiatives. This role is ideal for someone who enjoys solving complex data challenges, defining enterprise architecture standards, mentoring engineering teams, and driving modern cloud-based data solutions.

The successful candidate will act as the technical leader for the overall data architecture while collaborating closely with cloud engineers, data engineers, business stakeholders, and analytics teams.

Key Responsibilities
  • Design enterprise Data Lakes, Data Warehouses and Data Marts
  • Develop logical and physical data models
  • Define enterprise data architecture standards and best practices
  • Architect scalable cloud-based data platforms
  • Design metadata management and data catalog strategies
  • Optimize large-scale data warehouse performance
  • Design data partitioning, archival and retention strategies
  • Develop Slowly Changing Dimension (SCD) models
  • Establish governance, security and RBAC architecture
  • Collaborate with engineering teams on CI/CD and Infrastructure as Code
  • Mentor junior and mid-level data engineers and architects
  • Work with business users to gather and translate data requirements
  • Support enterprise reporting and visualization platforms
Required Skills
  • 10+ years of Data Architecture/Data Warehousing experience
  • Strong AWS ecosystem knowledge (S3, Redshift, Aurora PostgreSQL)
  • Expertise in enterprise data modeling
  • Data Lake architecture
  • Enterprise Data Warehouse design
  • Metadata management
  • Data Catalog implementation
  • Performance tuning
  • Infrastructure as Code (Terraform preferred)
  • Enterprise Security & RBAC
  • Cloud Architecture
  • Databricks or similar distributed data platform
  • Strong SQL
  • Excellent stakeholder communication
Preferred Skills
  • Databricks
  • Unity Catalog
  • Delta Live Tables
  • Collibra
  • Alation
  • Informatica
  • Palantir Foundry
  • Tableau
  • Power BI
  • Qlik
  • AI/ML platforms
  • Federal or Government project experience
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