Associate Data Engineer (6481) at MetroStar in Remote

Summary: MetroStar Systems is dedicated to building exceptional technology services through a passionate and skilled workforce. As an Associate Data Engineer, you will design and maintain scalable data pipelines and cloud-based platforms to support advanced analytics and machine learning workloads, collaborating closely with AI/ML engineers to operationalize data processes. 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 Required Qualifications: - 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 Required Skills: Data Engineering, Data Management, Database Development, Relational Databases, Data Modeling, ETL Processes, Data Quality Principles, Metadata Management, SQL, Data Integration, Interface Management, Python, Distributed Data Processing Frameworks, AWS Benefits: Health, dental, and vision insurance, 401(k) retirement plan with company match, Paid time off (PTO) and holidays, Parental Leave and dependent care, Flexible work arrangements, Professional development opportunities, Employee assistance and wellness programs