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Databricks Software Jobs in Washington (NOW HIRING)

Databricks Engineer

Bethesda, MD ยท On-site

$62K - $141K/yr

This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site

$140K - $180K/yr

Support an Agile software development lifecycle. * Contribute to the continued growth of our AI ... Big data technologies: Databricks, Apache Spark, Delta Lake, or similar. * Relational SQL ...

Databricks Engineer

Bethesda, MD ยท On-site

$62K - $141K/yr

This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC ...

Databricks Engineer

Washington, DC ยท On-site

$62K - $141K/yr

This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC ...

Databricks Engineer

Bethesda, MD ยท On-site

$62K - $141K/yr

This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site

$140K - $180K/yr

Support an Agile software development lifecycle. * Contribute to the continued growth of our AI ... Big data technologies: Databricks, Apache Spark, Delta Lake, or similar. * Relational SQL ...

Sr. Forward Deployed Engineer

Washington, DC ยท On-site +1

$182K - $250K/yr

... 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 ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site

$140K - $180K/yr

Support an Agile software development lifecycle. * Contribute to the continued growth of our AI ... Big data technologies: Databricks, Apache Spark, Delta Lake, or similar. * Relational SQL ...

Senior Data Engineer - Databricks

Mclean, VA ยท 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.

Showing results 21-40

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:

Infographic showing various Databricks Software job openings in Washington as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.

Data Engineer - Databricks with Security Clearance

Fairfax, VA โ€ข On-site

steampunk
IT Servicesย โ€ขย 201 - 500 employees

$110K - $160K/yr

Other

Re-posted 18 days ago


Job description

Overview We are looking for a seasoned Data Engineer to work with our team and clients to develop enterprise-grade data platforms, data lakes and lakehouses, services, and pipelines using Databricks, with a focus on data governance and cataloging using Unity Catalog. We are looking for more than just a Data Engineer; we are seeking a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions * Design, develop, and support the migration of data lake and lakehouse environments using Databricks, with a focus on performance, reliability, and scalability. * Implement and support Databricks Unity Catalog to enable centralized data governance, discovery, access control, and management across data lake and lakehouse environments. * Assess and understand existing ETL jobs, workflows, data marts, BI tools, reports, and associated data dependencies. * Design, develop, and optimize scalable data pipelines and data processing solutions using Databricks. * Address technical inquiries concerning customization, integration, enterprise architecture, and the features and functionality of data products. * Develop and support database, data warehouse, data mart, data lake, and lakehouse solutions in cloud environments such as AWS, Azure, or GCP. * Apply hands-on expertise with Databricks, Unity Catalog, SQL, PySpark/Python, and cloud technologies to support data engineering and governance solutions. * Support an Agile software development lifecycle. * Contribute to the continued growth of our AI & Data Exploitation Practice. Qualifications * Ability to obtain and maintain a U.S. government security clearance. * Bachelor's degree in computer science, information systems, engineering, or a related technical discipline. * 2-4 years of industry experience developing production software and solving complex technical problems. * 2-4 years of direct experience in Data Engineering, including experience with tools and technologies such as: * Big data technologies: Databricks, Apache Spark, Delta Lake, or similar. * Relational SQL: preferably T-SQL; alternatively PostgreSQL or MySQL. * Data pipeline and workflow management tools: Databricks Workflows, Airflow, AWS Step Functions, or similar. * Cloud services: Databricks on AWS, S3, EC2, RDS, or Azure equivalents. * Object-oriented or scripting languages: PySpark/Python, Java, C++, Scala, or similar. * Data lakehouse architecture and technologies such as Delta Lake or Apache Iceberg. * Demonstrated hands-on experience implementing and working with Databricks Unity Catalog, including data cataloging, governance, access controls, and permissions. * Experience applying data governance practices within Databricks data lake or lakehouse environments. * Advanced SQL knowledge and experience working with relational databases, including query development and optimization, as well as familiarity with a variety of database technologies. * Experience manipulating, processing, and extracting value from large, disparate datasets. * Ability to assess existing data pipelines, understand their purpose and functionality, and efficiently reimplement or modernize them using Databricks. * Experience working with structured and unstructured data. * Experience architecting data systems, including transactional systems and data warehouses. * Experience with the software development lifecycle (SDLC), CI/CD practices, and development, test, and production environments. * Experience with additional data cataloging and governance tools such as Informatica EDC, Collibra, Alation, Microsoft Purview, or Amazon DataZone is a plus. * Demonstrated commitment to data governance and data management best practices. * Experience working in an Agile environment. * Experience supporting project teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics solutions, and machine learning models. About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.