Elasticsearch Data Engineer

1 week ago

Ogden, Utah, United States Leidos Full time
Job Description:

The Leidos Digital Modernization Group is seeking a skilled Data Engineer to support the Enterprise Situational Awareness/Common Operational Picture (SA/COP) Team. 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.

Key Responsibilities:

Analyze quantitative and qualitative data to solve stakeholder problems and improve business efficiency.
Design, implement, and document solutions as repeatable processes.
Perform extraction, transformation, and load (ETL) tasks, developing and integrating data sets from diverse environments to support use cases involving network, performance, application, and configuration data.
Develop, test, and maintain both physical and logical data models, ensuring 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.

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.

About Leidos:

Leidos is a leading provider of innovative solutions for the defense, intelligence, and homeland security markets. We are committed to delivering exceptional value to our customers through our expertise, technology, and dedication to excellence.

Equal Employment Opportunity:

Leidos is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity, equity, and inclusion.

How to Apply:

Interested candidates should submit their resume and cover letter to [insert contact information]. We look forward to hearing from you

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