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How much do elasticsearch jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for elasticsearch in Minnesota is $66.53, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $72.74 per hour, depending on experience, location, and employer.

What does an Elasticsearch do?

An Elasticsearch job typically involves 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. Professionals in this role often work with technologies like Kibana, Logstash, and Beats to analyze and visualize data. Strong knowledge of distributed systems, query performance tuning, and security best practices is essential.

What skills and qualifications are needed for an Elasticsearch?

To thrive as an Elasticsearch Engineer, you need strong expertise in distributed systems, search algorithms, and a deep understanding of Elasticsearch architecture, typically supported by a background in computer science or related fields. Familiarity with tools such as Kibana, Logstash, Beats, and proficiency in scripting languages like Python or Java are crucial, and Elasticsearch certification is highly valued. Analytical thinking, problem-solving abilities, and strong communication skills set outstanding professionals apart in this field. These competencies ensure effective management, optimization, and troubleshooting of search infrastructure critical to business operations.

What are the most commonly searched types of Elasticsearch jobs in Minnesota?

The most popular types of Elasticsearch jobs in Minnesota are:

What are popular job titles related to Elasticsearch jobs in Minnesota?

For Elasticsearch jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Elasticsearch jobs in Minnesota look for?

The top searched job categories for Elasticsearch jobs in Minnesota are:

What cities in Minnesota are hiring for Elasticsearch jobs?

Cities in Minnesota with the most Elasticsearch job openings:

Elasticsearch jobs near you
Infographic showing various Elasticsearch job openings in Minnesota as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 67% Hybrid, and 33% Remote job distribution, with an average salary of $138,390 per year, or $66.5 per hour.

Senior Pega Infrastructure Engineer (Kafka & Private Cloud)

InfiCare Staffing

Minneapolis, MN • On-site

$113K - $154K/yr

Other

Posted 7 days ago

Job description

Job Title: Senior Pega Infrastructure Engineer (Kafka & Private Cloud)

Location: Minneapolis, MN (3 days hybrid)(local only)

Duration: Long term contract


Job Summary

We are seeking a Senior Pega Infrastructure Engineer with strong experience in Pega platform deployment and administration on Private Cloud environments. The ideal candidate should have hands-on expertise in externalizing Pega services such as Kafka and Elasticsearch/OpenSearch, containerizing Pega applications, and deploying solutions on AWS-based private cloud infrastructure.


Key Responsibilities

  • Design, implement, and support Pega Platform infrastructure in Private Cloud environments.
  • Configure and manage Pega externalized services including:
  • Apache Kafka
  • Elasticsearch/OpenSearch
  • Deploy and administer containerized Pega applications using:
  • Docker
  • Kubernetes
  • Amazon EKS
  • Helm
  • Build and maintain cloud infrastructure on AWS.
  • Configure and manage highly available Kafka environments including:
  • Topic management
  • Partitioning and replication
  • Security (SSL/TLS, SASL, IAM, ACLs)
  • Monitoring and troubleshooting
  • Manage OpenSearch/Elasticsearch clusters, indexing, retention, and search optimization.
  • Implement infrastructure automation using Terraform, CloudFormation, or similar IaC tools.
  • Support production environments, incident management, performance tuning, and disaster recovery activities.
  • Collaborate with application, DevOps, security, and architecture teams to deliver scalable enterprise solutions.


Required Qualifications

  • 10+ years of overall IT experience.
  • 3+ years of hands-on Pega Infrastructure/Cloud experience.
  • Strong knowledge of Pega deployment and administration on Private Cloud.
  • Experience externalizing Pega services such as Kafka and Elasticsearch/OpenSearch.
  • Hands-on experience with:
  • Apache Kafka / Amazon MSK
  • Elasticsearch/OpenSearch
  • AWS Cloud Services
  • Docker
  • Kubernetes / Amazon EKS
  • Experience with Linux administration and shell scripting.
  • Strong understanding of cloud networking, security, IAM, certificates, and access controls.
  • Experience with CI/CD pipelines and Infrastructure as Code.


Preferred Qualifications

  • Experience with Pega Containerization.
  • Experience deploying Pega on Kubernetes-based platforms.
  • AWS certifications.
  • Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, or ELK/OpenSearch.
  • Knowledge of high availability, disaster recovery, and enterprise security practices.


Technical Skills

Pega: Pega Platform, Pega Private Cloud, Pega Containerization

Cloud: AWS, EKS, EC2, IAM, VPC, CloudWatch

Messaging: Kafka, Amazon MSK, Kafka Connect, Schema Registry

Search: Elasticsearch, OpenSearch, Kibana/OpenSearch Dashboards

Containers: Docker, Kubernetes, Helm

Automation: Terraform, CloudFormation, Jenkins, Azure DevOps

Monitoring: Prometheus, Grafana, Splunk, ELK/OpenSearch

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