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Databricks Software Jobs in Washington, DC (NOW HIRING)

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.

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.

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

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.

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

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.

Databricks Developer

Ashburn, VA · On-site

$131.30K - $237.35K/yr

Minimum 5 years of experience in Software development should include the following technologies ... Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, clusters). * Deep ...

Databricks Developer

Ashburn, VA

$131.30K - $237.35K/yr

Minimum 5 years of experience in Software development should includethe following technologies ... Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, clusters). * Deep ...

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

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

... 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 Engineer

Bethesda, MD · 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 · 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 ...

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

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

Databricks Engineer

Washington, DC · 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 ...

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Showing results 1-20

Databricks Software information

See Washington, DC salary details

$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.

Senior Data Engineer - Databricks

Steampunk

Mclean, VA

$140K - $180K/yr

Other

Posted 28 days ago


Job description

Overview

We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than just a "Senior Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving. 

Contributions
  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability. 
  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports 
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products 
  • Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP). 
  • Key must have skill sets - Databricks, SQL, PySpark/Python, AWS 
  • Support an Agile software development lifecycle 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 
Qualifications

Required

  • Ability to hold a position of public trust with the US government. 
  • 5-7 years industry experience coding commercial software and a passion for solving complex problems. 
  • 5-7 years direct experience in Data Engineering with experience in tools such as: 
    • Big data tools: Databricks, Apache Spark, Delta Lake, etc. 
    • Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). 
    • Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc. 
    • AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents). 
    • Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc. 
    • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. 
  • Experience manipulating, processing, and extracting value from large, disconnected datasets. 
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks. 
  • Experience manipulating structured and unstructured data. 
  • Experience architecting data systems (transactional and warehouses). 
  • Experience with the SDLC, CI/CD, and operating in dev/test/prod environments. 
  • Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus. 
  • Commitment to data governance. 
  • Experience working in an Agile environment. 
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/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 $140,000 to $180,000.  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. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. 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. 

Employment Type: OTHER