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Databricks Software Jobs in Washington, DC (NOW HIRING)

Deloitte

Databricks Manager

Arlington, VA · On-site

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Databricks

Strategic Account Executive, DOW

Washington, DC · On-site +1

$272K - $374K/yr

Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions. What we look for: * 7+ years of experience selling complex software deals to the region ...

Booz Allen Hamilton

Databricks Engineer, Mid

Mclean, VA

$62K - $141K/yr

You Have: * 2+ years of experience in data engineering, software development, or analytics engineering * Experience with Databricks, including notebooks, Delta Lake, Workflows, or DLT, in academic ...

Diaconia LLC

Databricks Data Engineer

Silver Spring, MD · Hybrid

$130K - $140K/yr

Description We are seeking a Databricks Data Engineer with strong hands-on experience in Python and PySpark to support a fast-paced, high-impact delivery environment. This role requires someone who ...

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

Senior Data Engineer - Databricks

Mclean, VA

$140K - $180K/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

Senior Data Engineer - Databricks

Mclean, VA · On-site

$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

Senior Data Engineer - Databricks

Mclean, VA

$140K - $180K/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.

Booz Allen Hamilton

Mid Databricks Engineer

Mclean, VA

$62K - $141K/yr

R0232557 Databricks Engineer, Mid The Opportunity: As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil ...

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

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

$140K - $180K/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.

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$116K - $139.30K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

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$54.4K

$126.7K

$188K

How much do databricks software jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks software in Washington, DC is $126,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $147,200.00 per year, depending on experience, location, and employer.

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 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 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, DC? For Databricks Software jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Washington, DC look for? The top searched job categories for Databricks Software jobs in Washington, DC are:
Databricks Software jobs near you
Program Analyst, Legal Ops

Program Analyst, Legal Ops

Databricks

Washington, DC

Other

Posted 23 days ago

Job description

GAQ426R79

About the Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.

What we look for
Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. 

The impact you will have

  • Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. 
  • Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance.
  • Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity.

How you will work:

  • You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.
  • You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.
  • You routinely identify and recommend opportunities to change and improve ways of working.
  • You are a bar raiser, constantly looking to improve standards within the team and to streamline  process and quality across different regions.

What we look for

  • Outstanding interpersonal and communication skills
  • Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. 
  • Experience with leveraging AI or machine learning in a legal setting
  • Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.
  • Bachelor's degree or equivalent.
  • Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).
  • Strong project management skills.
  • Excellent written and verbal communication.
  • Ability to work effectively with cross-functional teams across diverse cultures.
  • Strategic thinking and problem-solving abilities.
  • Familiarity with relevant industry regulations and compliance requirements.
  • Proficiency with proposal management software.

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