Senior Data Engineer - TS/SCI | Cloud Data Pipelines

Altamira Technologies Corp.; Suitland (MD); In loco; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Altamira Technologies Corp. is seeking a Senior Data Engineer to design, develop, and maintain data pipelines and analytics platforms at customer sites in Tampa, FL or Joint Base Andrews. The role focuses on data modeling, governance, and cloud deployment across Azure, AWS, and GCP.

Key tasks include building scalable ETL/ELT pipelines, maintaining data warehousing structures, and collaborating with analysts, data scientists, and product teams in an Agile environment.

Competenze

• 10 years of experience with MS/MA degree or equivalent experience.
• Security Clearance: TS/SCI.
• Experience building, testing, and maintaining scalable data ingestion/ transformation pipelines (ETL/ELT).
• Experience with data models, schemas, and metadata in governed data environments.
• Experience with cloud platforms (Azure, AWS, GCP) for deploying data assets.

Mansioni

• Build, test, and maintain scalable data ingestion and transformation pipelines.
• Assist in designing and maintaining 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 practices.
• Work with cloud platforms to deploy data assets and optimize resources.
• Collaborate with analysts, data scientists, and product teams; participate in Agile ceremonies.

Conoscenze

Data pipeline development

Data modeling

Data warehousing

Data governance

Cloud platforms

Agile collaboration

Formazione

MS/MA degree or equivalent

Security Clearance: TS/SCI

Descrizione del lavoro

Altamira Technologies Corp. is seeking a Senior Data Engineer to design, develop, and maintain data pipelines and analytics platforms at customer sites in Tampa, FL or Joint Base Andrews. The role focuses on data modeling, governance, and cloud deployment across Azure, AWS, and GCP.

Key tasks include building scalable ETL/ELT pipelines, maintaining data warehousing structures, and collaborating with analysts, data scientists, and product teams in an Agile environment.