Elasticsearch Data Engineer

10 hours ago

Fort Meade, Maryland, United States Leidos Full time
Job Summary

We are seeking a skilled Data Engineer to join our team at Leidos Digital Modernization Group. The ideal candidate will have a strong background in data integration, model development, and system architecture, along with experience in maintaining and optimizing data pipelines. The Data Engineer will work as part of a fast-paced, Agile development and implementation team to architect, design, and develop a data engineering detailed design solution that supports a unified data integrated platform that expands the foundational Integrated Data Architecture platform (Confluent and ELK platform).

Key Responsibilities:

  • Design, implement, and document solutions as repeatable processes.
  • Perform extraction, transformation, and load (ETL) tasks.
  • Develop, test, and maintain both physical and logical data models.
  • Ensure consistency, quality, accuracy, and security of data by managing relevant metadata in support of the project.
  • Identify and resolve Elasticsearch issues, including slow queries and indexing problems.
  • Follow GMS Data Governance and SecDevOps policies to develop, test, deploy, and maintain data engineering pipelines.
  • Work within a matrixed organization to collaborate with primary project leadership while maintaining standard practices with GMS core teams.
  • Combine software and data engineering practices to strengthen enterprise data governance.
  • Apply knowledge of system architecture, network, and Centralized Logging (ELK) to support data transformation efforts.
  • Secure, maintain, optimize, and document analytics and visualization solutions, including some design and build responsibilities.
  • Follow Agile scrum practices in daily operations.
  • Deploy and manage Elastic clusters on Kubernetes in both on-premise and cloud environments.
  • Expand data platforms and analytics solutions using Elastic and Confluent platforms, focusing on SATCOM metadata for dashboard and reporting visualizations.
  • Support customer-driven visualization requirements and collaborate on data integration and Kibana dashboard development.

Requirements:

  • 8 years of experience and a B.S. Additional experience may be accepted in lieu of degree.
  • Proficiency with Data Management platforms and strong communication skills for effective collaboration with virtual teams of data engineers and DevOps engineers.
  • Experience following a software development lifecycle, with the ability to develop and maintain production-quality code.
  • Must hold an active Secret DoD Security clearance.

Preferred Qualifications:

  • Experience automating data cleansing, formatting, staging, and transformation processes.
  • Proficiency with text mining tools, summarization, search (ELK Stack), entity extraction, training set generation, and anomaly detection.
  • Familiarity with CI/CD techniques for developing and releasing software through containerized pipelines.
  • Knowledge of BI tools (e.g., Kibana, Splunk) and experience with developing search and analytics applications.
  • Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow.
  • Certified Elastic Engineer with experience developing logstash and ingest pipelines.
  • Experience developing in Confluent ksql and kstreams for data ETL purposes
  • Familiarity with Kubernetes and deployment of containers.
  • Experience with Agile methodologies and related tools.

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