Data Engineer

Experience:
* Strong Python application development : 5 years (Required)
* Hands-on Streamlit application development : 5 years (Required)
* Hands-on Docker containerization : 5 years (Required)
* deploying and troubleshooting containerized applications: 5 years (Required)
* integrating data into applications (SQL, APIs, files): 5 years (Required)
* own applications end-to-end: 5 years (Required)

*Cybersecurity data engineer *

* Configure and optimize data ingestion, storage, and retrieval within the Elastic ecosystem (Elasticsearch, Logstash, Kibana, Fleet) to enable high-volume, high-availability operations.
* Design, maintain, and optimize scalable cybersecurity ETL pipelines using the Elastic suite of tools.
* Develop transformations and enrichments for diverse security log and telemetry sources.
* Maintain index templates, mappings, schemas, and data models supporting analytics and detection logic.
* Implement data validation, deduplication, and quality controls to ensure data integrity.
* Automate ingestion, transformation, and engineering workflows using Python, Bash, and related tools.
* Monitor pipeline and indexing performance, troubleshoot data-flow issues, and optimize throughput, storage, and query performance.
* Maintain traceability and troubleshoot dependencies across Kafka, Elastic, and CI/CD tooling.
* Partner with Detection Engineering, Threat Analysis, Endpoint, and other cyber teams to support operational requirements.
* Maintain technical documentation, SOPs, and engineering artifacts
* 3 days on site at ALC, Adelphi MD
* TS clearance
* Nice to have:
* Experience with Kafka, Python/Bash automation, CI/CD, or DevSecOps practices.
* Experience working with Ruby.
* Experience supporting AWS, Azure, GCP, Oracle Cloud, hybrid-cloud, or multi-cloud environments.
* Knowledge of cybersecurity operations, including SIEM, threat detection, incident response, and security monitoring.

Job Type: Full-time

Pay: $120,000.00 - $150,000.00 per yea