Responsibilities
- Develop and maintain scalable data processing pipelines to ingest, transform, and manage large datasets from a variety of structured and unstructured sources (e.g., Excel, CSV, system logs).
- Design and implement ETL workflows to support data normalization, cleaning, and transformation.
- Leverage OpenSearch/Elasticsearch to index and query large-scale data, optimize performance, and manage cluster configurations.
- Create interactive dashboards and visualizations using Kibana and React.js to support operational insight and decision-making.
- Implement automation scripts for routine data engineering tasks using Python, Java, or similar languages.
- Collaborate across multi-disciplinary teams to transform proof-of-concept ideas into minimum viable products (MVPs).
- Support deployment of solutions in cloud environments (AWS, Azure) while applying distributed systems principles.
- Apply knowledge of data structures, algorithms, and data science tools (e.g., Pandas, NumPy) to improve data accessibility and usability.
Work Arrangement
Hybrid
Additional Information
- An active Top Secret SCI w/Polygraph security clearance is required for this position.
- This position is part of our Federal Solutions team.
