Senior Data Engineer - TS/SCI | Onsite in DC

The Amatriot Group

Washington (District of Columbia)

Sur place

USD 175 000 - 200 000

Plein temps

Il y a 6 jours
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Résumé du poste

The Amatriot Group in Washington, DC is seeking a Senior Data Engineer to design, build, and sustain scalable data systems and pipelines for analytics and operations. You will ingest, process, and unify large data sources while ensuring security, DoD/DISA compliance, and data quality.

The role uses Confluent Kafka, Elastic Stack, AWS, and OpenShift/Kubernetes with data warehouses and lakes to deliver reliable data solutions, automation, CI/CD, and dashboards.

Qualifications

  • This role requires 8+ years of data engineering experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Proficiency with data warehouses and data lakes (e.g., Redshift, S3, Snowflake).
  • Hands-on with Elastic Stack and Kafka for ingestion and processing.
  • Linux/UNIX systems administration and automation.
  • CI/CD pipelines and DevOps practices.

Responsabilités

  • Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming large data sources.
  • Develop and manage data warehouses and data lakes for analytics and dashboards.
  • Analyze and optimize throughput, performance, and storage across Elastic and Kafka platforms.
  • Support Kibana visualizations and dashboards; collaborate with analysts and visualization engineers.
  • Document architecture, runbooks, and collaborate across teams.

Connaissances

Python
Java
SQL
Shell scripting
Kafka
Elasticsearch
Kubernetes

Formation

Bachelor's degree in Computer Science or related field

Outils

AWS
OpenShift
Logstash
Kibana
Git

Description du poste

The Amatriot Group in Washington, DC is seeking a Senior Data Engineer to design, build, and sustain scalable data systems and pipelines for analytics and operations. You will ingest, process, and unify large data sources while ensuring security, DoD/DISA compliance, and data quality.

The role uses Confluent Kafka, Elastic Stack, AWS, and OpenShift/Kubernetes with data warehouses and lakes to deliver reliable data solutions, automation, CI/CD, and dashboards.

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