1-3 years of experience in data engineering or related field
Proficiency in building and maintaining data pipelines
Familiarity with ETL/ELT processes and tools
Experience with cloud platforms like Azure, AWS, or GCP
Understanding of data modeling and warehousing concepts
Ability to perform data quality checks and validation
Must possess a TS/SCI security clearance
Responsibilities
Build, test, and maintain scalable data ingestion and transformation pipelines
Assist in designing and maintaining structured datasets for analytics
Help define data models, schemas, and metadata
Perform routine data validation and quality checks
Collaborate with senior engineers on data governance best practices
Support deployment of data assets on cloud platforms
Partner with cross-functional teams to understand data requirements
Benefits
Collaborative work environment
Opportunities for continuous learning
Participation in Agile methodologies
Exposure to modern cloud and automation technologies
Work at a customer site in a vibrant location
Full Job Description
Position: AI/MLData 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 entry-level role is ideal for individuals who are beginning their data engineering career and eager to work with modern cloud, ETL, and automation technologies in a collaborative environment.
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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