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Magic Software Jobs in Washington, DC (NOW HIRING)

Systems Engineer

Manassas, VA · On-site

$80K - $130K/yr

Experience using MBSE Tools (No Magic Cameo System Modeler, Rhapsody, etc.) * Familiarity with Systems Modeling Language (SysML) and Unified Modeling Language (UML) * Experience in software ...

Experience using MBSE Tools (No Magic Cameo System Modeler, Rhapsody, etc.) * Familiarity with Systems Modeling Language (SysML) and Unified Modeling Language (UML) * Experience in software ...

Experience using MBSE Tools (No Magic Cameo System Modeler, Rhapsody, etc.) * Familiarity with Systems Modeling Language (SysML) and Unified Modeling Language (UML) * Experience in software ...

Client Care Advisor

Rockville, MD · On-site

$20 - $30/hr

Welcome to Roda, where we are passionate about creating a magical customer experience, saving you ... You'll need to be comfortable working with multiple software platforms, juggling multiple clients ...

Showing results 21-40

Magic Software information

See Washington, DC salary details

$53.1K

$123.6K

$183.5K

How much do magic software jobs pay per year?

As of Jul 24, 2026, the average yearly pay for magic software in Washington, DC is $123,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $143,700.00 per year, depending on experience, location, and employer.

What is Magic Software and what do they do?

Magic Software is a global software company that provides enterprise-grade application development and integration platforms. They are known for their Magic xpa Application Platform and Magic xpi Integration Platform, which help businesses create, deploy, and integrate software applications quickly and efficiently. Their solutions are used across various industries to streamline processes, connect disparate systems, and support digital transformation initiatives.

What is the difference between Magic Software vs Software Developer?

AspectMagic SoftwareSoftware Developer
Required CredentialsTypically a degree in computer science or related field, certifications varyBachelor's degree in computer science or related field, certifications optional
Work EnvironmentSoftware companies, IT departments, consulting firmsTech companies, startups, corporate IT teams
Employer & Industry UsageUsed by companies developing or implementing software solutionsEmployed across industries to develop, test, and maintain software
Common Search & ComparisonOften compared for roles involving software implementation and customizationCompared for general software development roles

Magic Software and Software Developer roles share similarities in required education and work environments, but Magic Software often refers to specific software solutions or platforms, while Software Developer is a broader role involving creating and maintaining software applications across various industries.

What are the key skills and qualifications needed to thrive as a Magic Software Developer, and why are they important?

To thrive as a Magic Software Developer, you need a solid understanding of programming concepts, application development, and experience with the Magic xpa Application Platform. Familiarity with Magic xpa Studio, integration tools, and database management systems (such as SQL Server or Oracle) is typically required, along with certifications in Magic Software technologies being advantageous. Strong problem-solving skills, attention to detail, and effective communication help developers excel in team environments and deliver solutions tailored to business needs. These competencies are vital for building robust, scalable applications and ensuring successful project outcomes within organizations using Magic Software platforms.

How does a Magic Software Developer typically collaborate with cross-functional teams during project development?

Magic Software Developers often work closely with business analysts, QA engineers, and project managers to understand client requirements and translate them into robust software solutions. Regular meetings and sprint planning sessions are common, ensuring alignment across departments and timely delivery of projects. Collaboration tools and clear communication are essential, as developers may also provide technical support and training to end-users or other team members throughout the development lifecycle.
What are popular job titles related to Magic Software jobs in Washington, DC? For Magic Software jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Magic Software jobs in Washington, DC look for? The top searched job categories for Magic Software jobs in Washington, DC are:
Infographic showing various Magic Software job openings in Washington, DC as of July 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $123,647 per year, or $59.4 per hour.
Cloud Data and AI Engineer, Professional Services with Security Clearance

Cloud Data and AI Engineer, Professional Services with Security Clearance

Google, Inc.

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 13 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 217 rated software companies


Job description

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.Minimum qualifications: * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 3 years of experience with software development in Python, Java, or C++, and relational database technologies. * Experience implementing data and AI solutions (including Large Language Models (LLMs)) and providing technical leadership to business stakeholders and education to partners. * Ability to travel up to 30% of the time as needed. * Must possess an active Secret security clearance. Preferred qualifications: * Experience with database and AI integrations. * Experience with machine learning operations, data warehousing, and data pipeline development, including ETL and ELT. * Experience working with cloud databases such as RDS, Aurora, ElastiCache, CloudSQL, AlloyDB, Datastore, or Bigtable. * Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring and auditing. * Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, or Golang. * Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and as well as database performance tuning. About the job As a Cloud Data and AI Engineer, you will guide Public Sector customers to develop, configure and deploy their data and AI solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You will consult with customers on how to best design their data and AI solutions including development and deployment of ML models, and integrations with leading Google technologies. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $127000 - $183000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities * Be highly collaborative and work closely with data producers, consumers and Data and AI Engineering teams across public sector customers and teams to understand the data needs, provide consultation, and design and develop solutions. * Analyze on-premise and cloud database environments, consulting on the optimal design for performance and deployment on Google Cloud Platform. * Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders. * Translate business requirements into conceptual, logical, and physical data models. * Design, build, and maintain data and AI solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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