Data Engineer: Build Secure Cloud Pipelines & Analytics

Altamira Technology Corporation; Tampa (FL); On-site; USD 110,000 - 150,000; Full time

Job summary

Altamira Technologies seeks a Data Engineer to design, develop, and maintain data pipelines, data models, and analytics platforms on customer-site projects in Tampa, FL or Joint Base Andrews. You will ensure scalable data architectures and collaborate across teams in an Agile environment.

The role requires 10+ years of experience and a TS/SCI clearance, with expertise in ETL/ELT, data governance, and cloud platforms (Azure/AWS/GCP).

Qualifications

• 10+ years of experience in data engineering or related roles.
• Educational background with a master’s degree or equivalent experience.
• Active TS/SCI security clearance is required.
• Experience with ETL/ELT pipelines, data modeling, and governance.
• Comfort with cloud platforms (Azure, AWS, GCP) and data platforms.
• Ability to work on customer-site projects in Tampa or Andrews and collaborate in Agile environments.

Responsibilities

• Build, test, and maintain scalable data pipelines.
• Model and warehouse structured datasets for analytics and ML.
• Define data models, schemas, and metadata in governed environments.
• Perform data quality checks and implement governance practices.
• Deploy data assets on cloud platforms and optimize resources.
• Collaborate with analysts, data scientists, and product teams in sprints.

Skills

Data Pipeline Development

Data Modeling

Data Quality

Cloud Platforms

Agile Collaboration

Education

MS/MA degree or equivalent experience

Security Clearance: TS/SCI

Tools

Azure

AWS

GCP

Job description

Altamira Technologies seeks a Data Engineer to design, develop, and maintain data pipelines, data models, and analytics platforms on customer-site projects in Tampa, FL or Joint Base Andrews. You will ensure scalable data architectures and collaborate across teams in an Agile environment.

The role requires 10+ years of experience and a TS/SCI clearance, with expertise in ETL/ELT, data governance, and cloud platforms (Azure/AWS/GCP).