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Dubai Computer Science Jobs in Lanham, MD (NOW HIRING)

Analytica

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Qualifications : Required : • Bachelor's degree in Computer Science, Information Systems ... Founded in , the company is headquartered in Dubai, ARE, with a team of 51-200 employees. The ...

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Dubai Computer Science information

What is a computer science job in Dubai?

A Computer Science job in Dubai typically involves working in the technology sector, focusing on areas such as software development, IT support, cybersecurity, data analysis, or artificial intelligence. These professionals are responsible for designing, developing, and maintaining computer systems and software to meet the needs of businesses and organizations. Dubai’s growing tech industry offers diverse opportunities, with many international companies and startups seeking skilled computer science professionals. The city also provides a vibrant work environment, competitive salaries, and the chance to work on cutting-edge technology projects.

What are the typical collaboration opportunities for computer science professionals working in Dubai's tech industry?

Computer science professionals in Dubai often collaborate with multidisciplinary teams, including software developers, data analysts, and project managers, reflecting the city's dynamic and diverse tech landscape. Many roles involve working on projects with colleagues from different cultural backgrounds, which can enhance innovation but may also require strong communication skills. Collaboration frequently extends beyond the organization through partnerships with startups, international firms, and government entities, providing exposure to cutting-edge technologies and global best practices. This environment encourages continuous learning and can open doors to leadership or specialized tech roles.

What are the key skills and qualifications needed to thrive as a computer scientist in Dubai, and why are they important?

To thrive as a Computer Scientist in Dubai, you need strong programming abilities, analytical problem-solving skills, and a relevant degree such as Computer Science or Software Engineering. Familiarity with programming languages (like Python, Java, or C++), cloud platforms, and certifications such as AWS Certified Solutions Architect or Microsoft Azure are highly valued. Excellent teamwork, adaptability, and effective communication help professionals collaborate in Dubai’s diverse, fast-growing tech environment. These skills are crucial to deliver innovative solutions, ensure project success, and remain competitive in the region’s dynamic technology sector.

How much does a computer scientist make?

The average salary for a computer scientist in Dubai ranges from AED 120,000 to AED 240,000 annually, depending on experience, skills, and the industry. Senior roles or those with specialized expertise can earn higher salaries, often supplemented with benefits such as health insurance and performance bonuses.

Is computer science a good career?

Computer science is a highly in-demand field with strong job growth and competitive salaries, especially for roles like software developers, data analysts, and cybersecurity specialists. Professionals in this field often require skills in programming languages, problem-solving, and continuous learning to stay current with technological advancements.

What are popular job titles related to Dubai Computer Science jobs in Lanham, MD?

For Dubai Computer Science jobs in Lanham, MD, the most frequently searched job titles are:

What job categories do people searching Dubai Computer Science jobs in Lanham, MD look for?

The top searched job categories for Dubai Computer Science jobs in Lanham, MD are:

What cities near Lanham, MD are hiring for Dubai Computer Science jobs?

Cities near Lanham, MD with the most Dubai Computer Science job openings:

Dubai Computer Science jobs near you
Infographic showing various Dubai Computer Science job openings in Lanham, MD as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.

Senior Data Engineer

Analytica

Washington, DC • On-site

$119K - $162K/yr

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. They are seeking a Senior Data Engineer to support large-scale healthcare data modernization and analytics initiatives, responsible for designing, building, optimizing, and operating enterprise-grade data platforms and pipelines.
Responsibilities:
• Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and/or cloud-native services.
• Build and optimize ETL/ELT workflows that support operational reporting, analytics, machine learning, and data-sharing initiatives.
• Develop and maintain medallion architecture patterns (Bronze, Silver, Gold) within Databricks Lakehouse environments.
• Implement data integration solutions across multiple structured and unstructured healthcare data sources.
• Design reusable frameworks, templates, and accelerators that improve engineering productivity and consistency.
• Establish and maintain DataOps processes that support reliable, automated, and observable data pipelines.
• Monitor pipeline health, performance, data quality, and operational SLAs.
• Implement automated testing, deployment, version control, and CI/CD practices for data products.
• Develop proactive monitoring, alerting, and incident response procedures.
• Troubleshoot and resolve production data issues while minimizing operational impact.
• Ensure solutions comply with CMS, federal, and healthcare-specific security, privacy, and data governance requirements.
• Support environments containing protected health information (PHI), personally identifiable information (PII), and other sensitive healthcare datasets.
• Implement auditability, lineage, metadata management, and data quality controls.
• Partner with governance and security teams to ensure compliance with applicable standards and policies.
• Collaborate with solution architects and customer stakeholders to define data platform strategy and implementation roadmaps.
• Lead technical design reviews and contribute to enterprise data architecture decisions.
• Optimize data storage, processing performance, and cost management within cloud environments.
• Mentor junior engineers and promote engineering best practices across teams.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline.
• 8+ years of data engineering experience, including large-scale enterprise data environments.
• 3+ years supporting CMS or other federal healthcare programs.
• Experience operating and supporting production-grade data platforms in regulated environments.
• Demonstrated experience with DataOps and modern data engineering practices.
• Expert-level experience with Databricks Lakehouse Platform.
• Strong proficiency with Apache Spark, PySpark, SQL, and Python.
• Experience designing and maintaining operational data pipelines at enterprise scale.
• Hands-on experience with cloud data platforms in AWS or Azure cloud environments.
• Experience implementing CI/CD pipelines using Git-based development workflows.
• Expertise in data quality, observability, lineage, metadata management, and monitoring frameworks.
• Experience with orchestration and workflow management tools.
• Strong knowledge of lakehouse, warehouse, and modern data architecture patterns.
• Experience supporting CMS, Medicare, Medicaid, or other federal healthcare data programs.
• Understanding of healthcare data governance, security, privacy, and compliance requirements.
• Experience working with healthcare data standards and regulated datasets.
• Familiarity with Federal Information Security requirements and operational controls.
Preferred:
• Databricks Certified Data Engineer Professional
• Additional Databricks certifications.
• Experience supporting cloud-native analytics platforms for CMS.
• Experience implementing Delta Lake, Unity Catalog, and advanced Databricks governance capabilities.
• Familiarity with machine learning operations (MLOps) and AI/ML data pipelines.
• Experience with Collibra, Informatica, Unity Catalog or comparable data governance platforms.
• Experience supporting FedRAMP or FISMA-compliant environments.
• Prior experience leading technical teams or serving as a technical lead.
Company:
Analytica is an IT agency that specializes in custom software, artificial intelligence, data analysis, computer vision, and blockchain. Founded in , the company is headquartered in Dubai, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

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