AI/ML Data Engineer — Pipelines, Modeling & Cloud (TS/SCI)

Altamira Technologies Corporation; Suitland (MD); On-site; USD 110,000 - 160,000; Full time

Job summary

Altamira Technologies Corporation seeks a Data Engineer to design, develop, and maintain data pipelines, data models, and analytics platforms for U.S. government projects. The role is onsite in Tampa, FL or at Joint Base Andrews, with collaboration across teams.

You will work with cloud platforms (Azure, AWS, GCP), contribute to data governance, and participate in Agile ceremonies with analysts and data scientists.

Qualifications

• Experience designing and maintaining scalable data ingestion and transformation pipelines.
• Design and maintain structured datasets for analytics and ML use cases.
• Define data models, schemas, and metadata in governed environments.
• Perform data validation, profiling, and quality checks; support data governance and security best practices.
• Work with cloud platforms to deploy data assets and optimize compute/storage resources.

Responsibilities

• Build, test, and maintain scalable data pipelines for analytics.
• Assist in designing datasets for analytics, reporting, and ML.
• Define data models, schemas, and metadata within governed environments.
• Perform data validation, profiling, and quality checks; contribute to data governance and security.
• Collaborate with analysts, data scientists, and product teams in Agile ceremonies.

Skills

Data pipeline development

Data modeling

Data governance

Cloud platforms

Cross-functional collaboration

Education

MS/MA degree or equivalent experience

Tools

Azure

AWS

GCP

Job description

Altamira Technologies Corporation seeks a Data Engineer to design, develop, and maintain data pipelines, data models, and analytics platforms for U.S. government projects. The role is onsite in Tampa, FL or at Joint Base Andrews, with collaboration across teams.

You will work with cloud platforms (Azure, AWS, GCP), contribute to data governance, and participate in Agile ceremonies with analysts and data scientists.