10 years of experience in data engineering or related field with a MS/MA degree or equivalent experience
Active TS/SCI security clearance required
Proficient in building and maintaining scalable data pipelines
Experience with data modeling and warehousing for analytics
Knowledge of data quality and governance best practices
Familiarity with cloud platforms such as Azure, AWS, or GCP
Strong collaboration skills with cross-functional teams
Responsibilities
Build, test, and maintain scalable data ingestion and transformation pipelines
Assist in designing and maintaining structured datasets for analytics and reporting
Define data models, schemas, and metadata within governed environments
Perform routine data validation, profiling, and quality checks
Collaborate with senior engineers to implement data governance and security practices
Work with cloud platforms to deploy and optimize data assets
Participate in Agile ceremonies and contribute to engineering process improvements
Benefits
Opportunity to work at a customer site in vibrant downtown Tampa or Joint Base Andrews
Engagement in Agile methodologies and continuous learning
Collaboration with diverse teams including analysts and data scientists
Involvement in cutting-edge data engineering projects
Potential for career advancement in a growing field
Full Job Description
Position: Senior Data Engineer
Position Location: Tampa, Florida (Downtown) or Joint Base Andrews
Position Description: Data Engineer supports the design, development, and maintenance of data pipelines, data models, and analytics platforms.
This position is at the customer site in either Tampa Florida or Joint Base Andrews.
Required Experience:
Data Pipeline Development: Build, test, and maintain scalable data ingestion and transformation pipelines. Support ETL/ELT activities to move data from source systems to analytics environments. Ensure data workflows are reliable, monitored, and well-documented.
Data Modeling & Warehousing: Assist in designing and maintaining structured datasets for analytics, reporting, and machine learning use cases.
Help define data models, schemas, and metadata within governed data environments.
Data Quality & Governance: Perform routine data validation, profiling, and quality checks. Collaborate with senior engineers to implement data governance and security best practices. Contribute to documentation of data flows, lineage, and standards.
Cloud & Platform Support: Work with cloud platforms (Azure, AWS, GCP depending on project) to deploy data assets. Support configuration, optimization, and maintenance of compute and storage resources.
Collaboration & Delivery: Partner with analysts, data scientists, and product teams to understand data requirements. Participate in Agile ceremonies, sprint planning, and code reviews. Drive continuous learning and contribute to improving engineering processes.
Education:
10 years of experience with MS/MA degree or equivalent experience
Security Clearance: TS/SCI
About Altamira Technologies Corp.
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