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Kibana Engineer Jobs

4 jobs found

Today

Data Engineer

Leidos Washington, DC

Washington, DC

Today

$92k - $167k/yr Full time Analytics Application Security Azure

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Job Description

Leidos is seeking a Data Engineer to support the setup of an Agile development team for federal IT modernization. The role focuses on gathering and transforming data, performing dataset analysis, and delivering dashboards and self-service analytics for technical and non-technical stakeholders in Washington, DC.

Location

Washington, DC (onsite)

Salary

USD 92,300 - 166,850 per yearly

Key Responsibilities

Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
Analyze complex datasets to identify trends, patterns, and insights that address operational and business questions.
Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool for clear stakeholder communication.
Apply visual design fundamentals, including visual hierarchy, proximity, similarity, font selection, and color theory, with attention to visual, layout, content organization, and accessibility guidelines.
Translate analytical results into actionable recommendations and present findings to both technical and non-technical audiences.
Engage with stakeholders to understand business needs, operational challenges, and data requirements.
Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
Develop and maintain self-service analytics tools and reusable data assets to support end users.
Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
Collaborate with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

Required Qualifications

Active TS/SCI clearance (required for consideration).
Willingness to complete and maintain additional customer suitability screenings throughout employment.
Current Security+ certification or higher/equivalent.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. Additional experience may be considered in lieu of degree.
Experience designing and building data visualizations and dashboards using Kibana.
Hands-on experience with data cleaning, transformation, and analysis using Python (pandas, numpy), SQL, or R.
Strong understanding of data modeling, ETL processes, and data pipeline development.
Ability to translate business requirements into technical solutions and actionable insights.
Excellent communication skills, including the ability to present complex findings to diverse audiences.
Experience with version control systems (e.g., Git) and collaborative development environments.
Strong attention to detail and commitment to data quality and reliability.
Strong communication and documentation skills for collaboration and knowledge sharing.
Experience with application integration design and strong communication skills for collaboration with virtual teams.

Technologies

ServiceNow
Elastic
Kafka
AWS
RedHat
TS/SCI clearance
Security+
Kibana
Python
pandas
numpy
SQL
R
Git
Elasticsearch
Logstash
Tableau
Power BI
Grafana
JIRA
Confluence
Azure
GCP
ELK Stack
CI/CD
Kubernetes

What to Expect

Early-stage flexibility with partial telework during initial development phases.
Full-time on-site presence at a secure facility in Washington, DC as the program matures.
A collaborative, Agile environment where input shapes the architecture from day one.
Dev platform based on ServiceNow, Elastic, Kafka, AWS, and RedHat.

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Preferred Qualifications

Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
Experience developing self-service analytics solutions and reusable data assets.
Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
Knowledge of data governance, security, and compliance best practices.
Experience documenting data models, business logic, and transformation processes.
Experience working in mission-driven or operational environments.
Experience developing and deploying software in a DoD environment (DISA experience is a plus).
Experience with DISA and DoD Networks.
Understanding of network routing devices and network device configurations.
Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
Familiarity with Kubernetes deployment, Agile methodologies, and tools.
Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
Experience with Agile methodologies and related tools, including Atlassian tools such as JIRA and Confluence.
Strong understanding of Agile methodologies, including Scrum and SAFe.
Experience working remotely with a geographically dispersed team.
Excellent communication and collaboration skills, including the ability to engage with customers, stakeholders, and team members.

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2d ago

Senior Software Engineer, Analytic Services Lead

Parsons Virginia

Virginia

2d ago

$148k - $267k/yr Full time Backend Developer Manager Senior

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Job Description

Parsons is seeking a Senior Software Engineer to lead Analytic Services for a large-scale, globally distributed mission platform. In this role, you will take ownership of analytics service design and delivery, ensuring performance and operational evolution across real-time workflows and strict latency expectations.

Role Overview

You will lead analytics microservices and analytics/search architecture using Elasticsearch and supporting tooling. The scope includes defining how data is ingested, indexed, queried, and visualized to support both operational telemetry and user-facing analytics experiences.

Key Responsibilities

Own the analytics services portfolio, covering search, aggregations, event rollups, telemetry analytics, and user-facing visualization services
Lead the design and delivery of Java-based analytics microservices and the ingestion, indexing, and reporting workflows that support them
Define indexing, sharding, retention, and query strategies across operational telemetry and business-facing analytics workloads
Tune and optimize queries and service interactions to meet strict performance and latency needs in real-time mission workflows
Ensure analytics microservices are scalable, observable, and reliable across globally distributed deployments

Required Qualifications

TS/SCI minimum clearance required
Bachelor’s degree in a technical discipline such as Computer Science, Software Engineering, or Information Systems (or 4 additional years of experience in lieu of degree)
15+ years of software, data platform, search, or analytics engineering experience, including 4+ years owning a major technical service domain
Strong hands-on experience with Elasticsearch, Logstash, Kibana/Grafana, and Java-based microservices
Proven ownership of analytics/search architecture across indexing, query design, aggregation patterns, and UI visualization
Strong troubleshooting skills across ingestion, indexing, query performance, UI layers, and distributed systems

Preferred / Desired Skills

Experience with Vue.js 3 (or similar frameworks) for analytics dashboards
Experience building analytics or observability solutions in distributed microservices environments
Experience with telemetry pipelines, distributed tracing, or APM-driven analysis
Experience optimizing Elasticsearch clusters for mixed workloads (user analytics and operational telemetry)
Experience integrating event pipelines or stream processors into analytics workflows

Technologies

Elasticsearch
Logstash
Kibana
Grafana
Java
Vue.js 3

Location and Compensation

Location: Virginia (onsite)
Salary range: USD 148,300 - 266,900 per year

Benefits

Medical, dental, and vision
Paid time off
Employee Stock Ownership Plan (ESOP)
401(k)
Life insurance
Flexible work schedules
Holidays
Financial Wellness
Work Life Harmony
Career Development
Veteran Support
Mind & Body
Health

Security Clearance

An active Top Secret SCI security clearance is required for this position.

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27d ago

Data Security Engineer

Leidos Adelphi, MD

Adelphi, MD

27d ago

$87k - $157k/yr Full time Data Ingestion Data Integration Data Pipeline

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Job Description

Leidos is seeking a Data Security Engineer (hybrid) in Adelphi, MD to build and sustain cybersecurity data pipelines that support defensive cyber operations. The role focuses on ingesting, normalizing, enriching, and managing high-volume security telemetry within Elastic and automating related workflows across Elastic, Kafka, and CI/CD environments.

Responsibilities

Design, maintain, and optimize scalable cybersecurity data ingestion and normalization pipelines.
Develop data transformations and enrichments for diverse security log and telemetry sources.
Configure and optimize Elasticsearch, Logstash, Kibana, and Fleet to support high-volume, high-availability operations.
Maintain index templates, mappings, schemas, and data models used for 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 tooling.
Monitor pipeline and indexing performance, troubleshoot data-flow issues, and improve 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 other engineering artifacts.

Requirements

Bachelor’s degree and 4–8 years of relevant experience, or additional experience may substitute in lieu of degree.
3+ years of data engineering, data analysis, cybersecurity data engineering, or related experience.
Experience with data ingestion, transformation, normalization, or high-volume data-processing pipelines.
Hands-on experience with Elastic Stack components and related technologies, including Elastic, Kafka, Python, Bash, and CI/CD tooling.
Familiarity with Elastic Common Schema (ECS) or similar cybersecurity data models.
Required DoD 8570/8140-aligned and CSSP Analyst certifications, as applicable to the position.
U.S. Citizenship with an active TS/SCI clearance.
Strong written and verbal communication skills.

Technologies

Elastic, Elasticsearch, Logstash, Kibana, Fleet
Elastic Common Schema (ECS)
Kafka
Python, Bash
CI/CD

Preferred Qualifications

Experience onboarding and normalizing high-volume cybersecurity telemetry and log sources.
Experience with Kafka, Python/Bash automation, CI/CD, or DevSecOps practices.
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.
Experience supporting a DoD CSSP, SOC, or other large-scale defensive cyber operations environment.
Strong troubleshooting skills across complex data pipelines and interconnected systems.

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Role Details

Location: Adelphi, MD (hybrid)
Minimum experience: 3 years
Education: Bachelor’s degree
Salary range: USD 87,100 - 157,450 per year
Pay range: $87,100.00 - $157,450.00
Original posting: August 13, 2026

Securing Your Data

Leidos will never ask you to provide payment-related information during any part of the employment application process.
Leidos will only communicate with you through emails generated by the Leidos.com automated system.
If you receive an email purporting to be from Leidos that asks for payment-related information or other personal information, email LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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1mo ago

Senior Technical Support Engineer

ServiceNow Orlando, FL

Orlando, FL

1mo ago Closed

$81k - $124k/yr Full time Ai Workflows Analytics APIs

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

This role offers a compelling blend of enterprise impact and professional growth. Based onsite in Orlando, FL, you will join a team supporting Moveworks on the ServiceNow platform, focusing on day to day technical support and troubleshooting for an AI driven assistant that enables automation, fast search, and workflow execution for large organizations. The compensation range is USD 81,000 to 124,000 per year, and you will benefit from a comprehensive package, a collaborative culture, and a clear path to expand your technical and customer-facing skills.

Benefits

Health plans
Flexible spending accounts
401(k) Plan with company match
Employee Stock Purchase Plan (ESPP)
Matching donations
Flexible time away plan
Family leave programs
Equity (when applicable)

Responsibilities

Deliver day to day technical support to customers using the AI Assistant platform to drive automation, search, and workflow execution
Troubleshoot AI responses, including retrieval augmented generation quality and answer accuracy
Investigate agentic workflows covering planning, execution, and action failures
Manage API integrations with enterprise systems
Communicate clearly with customers and simplify complex AI and system behaviors
Root cause analysis using logs, telemetry, and system insights with tools like Kibana and Grafana
Document defects and track them in defect management systems
Ensure timely responses and adherence to service level agreements
Triage support tickets and escalate to appropriate teams such as Customer Success Engineering, Product, or Engineering
Analyze API failures and integration issues across connected enterprise systems
Apply configuration changes to optimize assistant behavior and meet customer requirements
Identify recurring issues and contribute to internal and customer facing knowledge bases
Reproduce, document, and communicate bugs, outages, and workflow failures effectively

Requirements

Bachelor's degree in Information Technology, Computer Science, or a related field
5 to 8 years of experience in customer facing technical support or similar roles
Experience with the ServiceNow platform and enterprise integrations
Strong understanding of REST APIs and debugging integration issues
Experience with automated, bi-directional integrations between systems
Ability to distinguish between configuration issues and product limitations through system design concepts
Robust troubleshooting and problem solving abilities
Skill in analyzing logs and monitoring tools such as Kibana and Grafana
Excellent written communication with the ability to simplify complex technical concepts
Proficiency in debugging across workflows, APIs, and system interactions
Experience reproducing, documenting, and communicating bugs effectively
Passion for technology and a strong desire to learn and grow

Technologies

ServiceNow
Kibana
Grafana
REST APIs
XML
JSON
YAML
Python
Git
Okta
Workday
Google Workspace
Microsoft Active Directory

Nice to Have

Familiarity with AI and ML systems, especially RAG based search or conversational AI
Understanding of agent based or workflow automation systems
Familiarity with configuration file formats such as XML, JSON, and YAML
Experience with logging and observability tools such as Kibana and Grafana
Basic coding skills, preferably Python
Knowledge of distributed version control systems, with Git being a plus
Experience with enterprise IT platforms such as Okta, Workday, Google Workspace, and Microsoft Active Directory

Qualifications

Bachelor's degree in Information Technology, Computer Science, or a related field
5 to 8 years of experience in customer facing technical support or similar roles
Experience with the ServiceNow platform and enterprise integrations
Strong understanding of REST APIs and debugging integration issues
Experience with automated, bi-directional integrations between systems
Understanding of system design concepts to distinguish between configuration issues and product limitations
Strong troubleshooting and problem solving skills
Ability to analyze logs and monitoring tools such as Kibana and Grafana
Strong written communication skills and ability to simplify complex technical concepts
Ability to debug issues across workflows, APIs, and system interactions
Experience reproducing, documenting, and communicating bugs effectively
Passion for technology with a strong desire to learn and grow

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