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Databricks Software Jobs in Washington (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our AI ... Big data tools: Databricks, Apache Spark, Delta Lake, etc. * Relational SQL (Preferably T-SQL.

Steampunk

Data Engineer - Databricks

Mclean, VA

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

Bizoforce Inc

Data Engineer (Databricks)

Washington, DC · On-site

$129K - $155K/yr

Data Engineer - Databricks Location: Washington, DC Metro Area Duration: Long-Term Full-Time (W2) (Does not require Sponsorship) How the role works * Weeks 1-10: full-time paid Databricks training ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our AI ... Big data tools: Databricks, Apache Spark, Delta Lake, etc. * Relational SQL (Preferably T-SQL.

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau. * Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). * Jira, Confluence, SharePoint. * Mural, Miro, or ...

Socket.dev

Data Engineer - AWS/Databricks

Reston, VA · On-site

$90 - $130/hr

... software for retrieving, parsing and processing structured and unstructured data * 1 to 2 years of ... Databricks * Experience with data quality, validation frameworks, and storage optimization ...

Databricks

Sr. Counsel, Product

Washington, DC

$143K - $189K/yr

GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide ... Deep understanding of cloud and software technology, and a strong desire to work on legal issues in ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Washington?

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

What job categories do people searching Databricks Software jobs in Washington look for?

The top searched job categories for Databricks Software jobs in Washington are:

What cities in Washington are hiring for Databricks Software jobs?

Cities in Washington with the most Databricks Software job openings:

Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 6% Part Time, 2% Temporary, and 8% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Sr Technical Solutions Engineering

Databricks

Mclean, VA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Databricks is a leading data and AI company focused on enabling data teams to solve complex challenges. They are seeking a Sr Technical Solutions Engineer to join their Cleared Engineering team, responsible for ensuring the reliability of multi-cloud data enclaves and advanced AI software within secure environments.
Responsibilities:
• Ensure Platform Reliability: Drive the technical triage, infrastructure visibility, and incident resolution for Databricks’ multi-cloud data enclaves and Generative AI software running inside air-gapped environments.
• Unblock Secure Engineering Pipelines: Serve as the essential secure-zone operational interface, unblocking complex GovCloud system interactions and taking on the analysis and triage burden for internal engineering teams.
• Execute Advanced Tooling & Scripting: Safely execute and adapt infrastructure scripts, automation tools, and diagnostic workflows natively within secure boundaries, adhering strictly to modern access guidelines.
• Optimize Environment Patching: Identify and resolve systemic environment blocks, reviewing infrastructure configurations to ensure streamlined, compliant patch deployment pipelines.
• Maintain Guardrails & Compliance: Navigate and implement evolving operational frameworks within secure facilities (SCIF), ensuring all GovCloud interactions strictly meet rigorous federal security benchmarks.
Qualifications:
Required:
• Active TS/SCI security clearance.
• 5+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role.
• High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively.
• Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.
• Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms).
• Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines.
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required.
Preferred:
• Active Counterintelligence (CI) or Full Scope Polygraph (FSP).
• Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments.
• Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints.
• Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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