Staff Implementation Engineer, Federal (Spanish Speaking)
Core
Design, develop, and maintain distributed big-data pipelines for network analysis, ML, and data fusion while integrating proprietary customer data into a knowledge graph.
Role type
Staff Implementation Engineer (Data Engineering)
Builds
Distributed data pipelines, data ingestion systems, and knowledge graph integrations
Domain
Data Engineering, Big Data, Network Analysis, Machine Learning
Deliverable
production ML models
Required skills
Data pipeline design and development, Big data processing, Data modeling, Data governance, Technical leadership, Mentoring engineers, System architecture, Cloud engineering, API integration, Container orchestration
Preferred skills
ML pipeline deployment, Front-end development, Enterprise architecture, Trade compliance knowledge, Public sector experience, AI tool usage
Technologies
Python, Spark, SQL, AWS, Azure, Git, Kubernetes, Docker, Databricks, OpenSearch, Postgres
Responsibilities
Develop and deploy distributed big-data pipelines, Serve as technical expert in client-facing meetings, Evaluate and recommend new tools and best practices, Lead and mentor engineers on complex projects, Integrate proprietary customer data while preserving privacy, Drive technology scalability to meet customer requirements
Seniority
Staff, hands-on IC with leadership
