Tech Stack

Description

You will design and maintain scalable data pipelines and cloud-based data platforms using Python, distributed data processing frameworks, and AWS services. You will ingest, transform, and manage structured and unstructured data from various sources to support advanced analytics and machine learning workloads.

Requirements

• Active US Secret Clearance or 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
• Ability to write and optimize SQL queries

Responsibilities

• Design and implement data ingestion, transformation, and enrichment pipelines across multiple concurrent projects
• Develop and manage cloud-native data services including object storage, vector database integration, and structured data warehousing
• Work with AI/ML engineers to operationalize data pipelines for training, inference, and RAG workloads
• Establish data quality, lineage, and governance practices for maturing projects
• Present technical approaches and data architecture decisions to stakeholders