Associate Data Engineer (6481)

MetroStar is a company focused on building exceptional teams and delivering outstanding technology services. The Associate Data Engineer will design and maintain scalable data pipelines and cloud-based data platforms, supporting advanced analytics and machine learning workloads while collaborating with AI/ML engineers.

Responsibilities:

• Design and implement data ingestion, transformation, and enrichment pipelines across multiple concurrent projects with varying data modalities (time-series sensor data, video, images, documents, and metadata)
• Develop and manage cloud-native data services including object storage workflows, vector database integration, and structured data warehousing to support multi-modal AI/ML systems
• Work closely with AI/ML engineers to operationalize data pipelines that feed training, inference, and retrieval-augmented generation (RAG) workloads in production
• Establish data quality, lineage, and governance practices across projects that are maturing from prototype to product, bringing structure and repeatability to evolving data ecosystems
• Support the processing and organization of unstructured data (video files, PDFs, technical manuals) into formats suitable for embedding generation, semantic search, and summarization
• Present technical approaches and data architecture decisions to both technical teammates and non-technical stakeholders

Requirements:

• Active US Government issued Secret Clearance, or the ability to obtain one
• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
• 0–2 years of experience in data engineering, data management, or database development
• Familiarity with relational databases, data modeling, and ETL processes
• Understanding of data quality principles and metadata management
• Ability to write and optimize SQL queries
• Exposure to data integration and interface management concepts