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Databricks Software Jobs in Washington, DC (NOW HIRING)

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$120K - $150K/yr

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

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:

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA

$90K - $100K/yr

... 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 ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$90K - $100K/yr

... 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 ...

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 ...

August Schell

Databricks SME

Rockville, MD · On-site

$116K - $140K/yr

Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities. * Streaming Data: Manage ...

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Showing results 41-60

All JobsDatabricks Software JobsDatabricks Software Jobs in Washington, DC

Databricks Software information

See Washington, DC salary details

$54.4K

$126.7K

$188K

How much do databricks software jobs pay per year?

As of Sep 8, 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 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, 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

Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks

Washington, DC • On-site

$118K - $162K/yr

Full-time

Re-posted 16 days ago

Job description

CSQ327R59

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Apply