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Ilm Jobs in Virginia (NOW HIRING)

Tror AI for everyone

ELK / ESS Engineer

Mclean, VA · On-site

Tune dashboard panels for performance, implementing data retention policies (ILM) to maintain efficiency. * Cluster Management: Deploy, configure, and maintain Elasticsearch clusters on-premise or in ...

AllSTEM Connections

IAM Engineer

Richmond, VA · On-site

$228K/yr

Strong understanding of Zero Trust architecture, identity lifecycle management (ILM), and security governance. Soft Skills: Excellent communication skills with the ability to translate complex ...

J5 Consulting

Application Developer

Chantilly, VA · On-site

... ILM, performance tuning, working with large datasets. Managing at scale: cluster topology, shard sizing, replica strategy, resource limits, JVM tuning, recovery practices. Shard sizing strategy ...

Serviss

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

Manage index lifecycle (ILM), retention, sharding, and cluster performance tuning for high-volume, low-latency operations * Instrument pipelines with monitoring, alerting, and logging so data-flow ...

J5 Consulting

Application Developer

Chantilly, VA · On-site

... ILM, performance tuning, working with large datasets. Managing at scale: cluster topology, shard sizing, replica strategy, resource limits, JVM tuning, recovery practices. Shard sizing strategy ...

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Ilm information

See Virginia salary details

$27.8K

$67.1K

$160.6K

How much do ilm jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ilm in Virginia is $67,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $80,800.00 per year, depending on experience, location, and employer.

What is ILM?

Integrated logistics management (ILM) is the use of data to plan, control, and implement a supply chain that delivers a product to a customer in the most effective way. This includes deciding on manufacturing locations, ensuring all components and materials are available, selecting where to warehouse completed products, and anticipating shipping needs. ILM is best understood as a service-oriented process designed to make things as easy for the customer as possible. It is not a method designed to help companies save money, though maximizing the efficiency of manufacturing and limiting the number of times a product needs to be transported ultimately helps keep prices down.

What are some common challenges faced by professionals working in ILM roles?

Professionals in instructional design and learning management often encounter challenges such as adapting to rapidly evolving educational technologies, meeting diverse learner needs, and managing tight project timelines. Collaborating with subject matter experts and stakeholders can require strong communication skills to ensure learning objectives are clearly defined and met. Additionally, balancing creativity with organizational standards and compliance requirements can be demanding, but it also provides opportunities for continuous learning and professional growth within the field.

What are the key skills and qualifications needed to thrive as an ILM, and why are they important?

I'm sorry, but 'Ilm' is not recognized as a real-world professional occupation, so I cannot provide an accurate response.

What is the difference between Ilm vs Data Analyst?

AspectIlmData Analyst
Required CredentialsIlm certifications, legal knowledgeDegree in statistics, mathematics, or related field
Work EnvironmentLegal, compliance, or regulatory settingsBusiness, finance, marketing departments
Industry UsageLegal, government, corporate complianceFinance, marketing, healthcare

Ilm professionals focus on legal and regulatory compliance, often requiring certifications in law or compliance. Data Analysts analyze data to inform business decisions, typically holding degrees in statistics or related fields. While both roles involve data and analysis, Ilm emphasizes legal knowledge, whereas Data Analysts focus on interpreting data trends.

More about Ilm jobs

What are popular job titles related to Ilm jobs in Virginia?

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What job categories do people searching Ilm jobs in Virginia look for?

The top searched job categories for Ilm jobs in Virginia are:

Ilm jobs near you
Infographic showing various Ilm job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $67,094 per year, or $32.3 per hour.

ELK / ESS Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted yesterday

Job description

Job Role: ELK / ESS Engineer

Job Location: McLean, VA (100% Onsite)

Job Type: Contract

Job Description: -

  • Key feature required include query tuning, indexing strategy, cluster monitoring, and troubleshooting, often using the ELK stack.
  • Designing, implementing, and managing search and analytics solutions using Elasticsearch.
  • Responsibilities may include indexing large datasets, optimizing search queries, maintaining cluster performance, and ensuring data availability.
  • Single person in requirement backlog and direct interaction with client.

Key Responsibilities: -

  • Visualization Creation: Build and assemble interactive panels, charts, maps, and metrics using Kibana Lens to create comprehensive dashboards.
  • Data Analysis & Mapping: Design efficient time-series index mappings and data streams to ensure optimal data storage and retrieval.
  • Query Optimization: Utilize aggregations, date histograms, and filters (KQL) to analyze large datasets and ensure fast dashboard response times.
  • Alerting & Monitoring: Set up threshold-based alerts (Watcher) and monitor system health to provide actionable insights.
  • Dashboard Optimization: Tune dashboard panels for performance, implementing data retention policies (ILM) to maintain efficiency.
  • Cluster Management: Deploy, configure, and maintain Elasticsearch clusters on-premise or in cloud environments (AWS, Azure). [NICE TO HAVE]
  • Performance Optimization: Fine-tune query performance, index management, and shard allocation for large-scale data.  [NICE TO HAVE]
  • Data Integration: Develop pipelines for indexing data from various sources using Logstash or ingestion APIs.
  • Monitoring & Security: Monitor cluster health, maintain security protocols, and ensure data integrity.
  • Troubleshooting: Perform root cause analysis on performance bottlenecks and cluster failures 
    Work with Development Teams: Collaborate with software engineers to implement search features and improve user experiences.
  • Provide Technical Support: Troubleshoot and resolve issues related to Elasticsearch performance, data integrity, and availability.
  • Knowledge of indexing strategies for high-volume data.
  • Experience in designing scalable, secure, and resilient search architectures.
  • Ability to work INDEPENDENTLY in agile teams, collaborating with DevOps and Data Engineers
  • Connect AI assistants, agents & automations to your data w/the first managed MCP platform [NICE TO HAVE]

Technical Skills: -

  • Expertise in ELK Stack: Proficient in Elasticsearch, Logstash, and Kibana.
  • Visualization Experience: Strong experience with Kibana visualization tools (Lens, Maps, Graph).
  • Data Modelling and Knowledge of JSON and REST APIs: Familiarity with JSON data format and RESTful API principles is crucial for interacting with Elasticsearch.
  • Querying: Proficiency in Kibana Query Language (KQL) and Elasticsearch aggregations.
  • Monitoring/Observability: Background in creating operational dashboards for log analysis or metric tracking. 
  • Familiarity with Elasticsearch Ecosystem: Knowledge of related tools like Kibana, Logstash, and Beats enhances the engineer’s ability to deliver complete solutions.
  • Basic Programming Skills: Proficiency in programming languages such as Python, Java, or Go is beneficial for automation and customization tasks.