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Junior Elastic Engineer Jobs in Springfield, PA (NOW HIRING)

Junior Elastic Engineer information

See Springfield, PA salary details

$31.6K

$67.7K

$103.3K

How much do junior elastic engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior elastic engineer in Springfield, PA is $67,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $75,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior Elastic Engineer?

To thrive as a Junior Elastic Engineer, you need a foundational understanding of Elasticsearch, data indexing, and search concepts, often supported by a degree in computer science or a related field. Familiarity with the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats), RESTful APIs, and basic scripting or programming skills are typically required, with certifications like Elastic Certified Engineer being beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret data issues and collaborate with team members. These skills ensure efficient design, maintenance, and troubleshooting of search and analytics solutions, directly impacting data-driven decision-making and system reliability.

What is the difference between Junior Elastic Engineer vs Elastic Engineer?

AspectJunior Elastic EngineerElastic Engineer
Required CredentialsBachelor's degree in CS or related field, basic knowledge of ElasticsearchSame as Junior, plus more experience and certifications like Elastic Certified Engineer
Work EnvironmentEntry-level projects, supervised tasks, learning-focusedMore complex projects, independent problem-solving, leadership roles
Employer & Industry UsageStartups, tech companies, data-driven organizationsEstablished companies, enterprise environments, cloud services
Common Search & ComparisonOften searched by beginners or those exploring career optionsCompared for career advancement or specialization

The main difference between a Junior Elastic Engineer and an Elastic Engineer lies in experience, responsibilities, and certifications. Junior Elastic Engineers typically handle entry-level tasks and focus on learning, while Elastic Engineers work on complex projects with greater independence and often hold advanced certifications. Both roles are vital in organizations utilizing Elasticsearch technology, but the Elastic Engineer position requires more expertise and experience.

What types of projects and responsibilities can a junior Elastic Engineer expect in their first year?

As a Junior Elastic Engineer, you can anticipate working on projects such as setting up and maintaining Elasticsearch clusters, assisting with data indexing and search optimization, and supporting the integration of the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) into existing systems. Daily tasks often involve troubleshooting issues, monitoring system performance, and collaborating with development and operations teams to ensure data pipelines are robust and efficient. You may also participate in code reviews and contribute to automation scripts, all while learning best practices from senior engineers, which helps you build a strong foundation for career advancement.

What is a junior Elastic Engineer?

A Junior Elastic Engineer is an entry-level professional who specializes in working with the Elastic Stack, which includes Elasticsearch, Logstash, Kibana, and Beats. Their responsibilities typically involve setting up, managing, and troubleshooting search and analytics solutions based on Elastic technologies. They assist in data ingestion, query tuning, dashboard creation, and maintaining system performance under the guidance of senior team members. Junior Elastic Engineers often collaborate with developers, DevOps, and data teams to ensure that data is effectively indexed and visualized. This role is ideal for those starting their careers in data engineering or search technologies.

Elasticsearch Lead Engineer - SIEM Platform

Vanguard Group, Inc.

Malvern, PA • On-site

$100K - $132K/yr

Full-time

Re-posted 25 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g., assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.
Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape.
Our crew are our greatest resource - by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.
Elasticsearch Lead Engineer - SIEM Platform:
  • Architect and maintain high-availability Elasticsearch clusters supporting large-scale security event ingestion
  • Define and enforce Elastic Common Schema (ECS) field mappings across all data sources, ensuring consistent normalization for detection rules and analytics
  • Design and develop custom data ingestion pipelines using Elasticsearch
  • Integrate with AWS services including S3, Kinesis Data Streams, Lambda, and CloudWatch for log collection
  • Manage AWS infrastructure: EC2, S3, IAM, and Secrets Manager - using AWS CloudFormation
  • Implement data lifecycle management - hot/warm/cold/frozen tier strategies, ILM policies, and snapshot/restore to S3-based data lakes
  • Partner with Detection Engineering and Threat Intelligence teams to optimize index strategies, queries, and dashboards in Kibana
  • Establish and maintain cluster security controls: TLS/mTLS, role-based access control (RBAC), audit logging, and encryption at rest
  • Build resilient, fault-tolerant architectures: cross-cluster replication, shard allocation awareness, and disaster recovery runbooks
  • Perform activities related platform health monitoring and upgrade / patching
  • Troubleshoot and manage production technical issues related to Elasticsearch cloud
  • Define and enforce SLOs for ingestion latency, query performance, and cluster availability
  • Mentor junior engineers and establish best practices, runbooks, and architectural standards

Qualifications
  • Minimum of six years related work experience.
  • Undergraduate degree in a related field or the equivalent combination of training and experience.
  • 6+ years of Elasticsearch / Elastic Stack (ELK) experience in a production security or observability environment
  • Deep understanding of Elastic Common Schema (ECS) and experience mapping diverse log sources (Windows, Linux, network, cloud, EDR) to ECS
  • Hands-on experience operating Elasticsearch at scale (10TB+/day ingest, 100+ node clusters)
  • Proficiency with AWS - Kinesis, S3, IAM, CloudTrail, and AWS-native log sources
  • Experience with data streaming platforms - Apache Kafka, or Confluent Platform - for high-throughput event ingestion
  • Experience integrating with data lake platforms - AWS S3 / Lake Formation, Data Lake, or Apache Iceberg for long-term retention and threat hunting
  • Strong understanding of security principles: least privilege, network segmentation, secrets management, audit logging
  • Experience building resilient systems: replication topologies, capacity planning, chaos engineering mindset, and documented DR procedures
  • Proficiency with infrastructure-as-code tools (Terraform, Ansible, or CDK) (Optional)

Preferred Qualifications
  • Elastic Certified Engineer or Elastic Certified Analyst certification
  • Experience with Elastic Security / SIEM detection rules, ML jobs, and Timeline investigations
  • Familiarity with MITRE ATT&CK framework and how it informs index and detection design
  • Experience with container-based deployments of Elastic (ECK / Kubernetes)
  • Knowledge of compliance frameworks: SOC 2, PCI-DSS, HIPAA, or FedRAMP

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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