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Java Elasticsearch Jobs in Pennsylvania (NOW HIRING)

Python, PySpark, Java * Experience building scalable, high-performance applications in enterprise environments * Databases: MongoDB, ElasticSearch, Oracle, Apache Iceberg * Strong data engineering ...

Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph ... StrongPython, Java, and/or Scalaexperience will be considered a plus. * Hands-onexperience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on- experience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph ... StrongPython, Java, and/or Scalaexperience will be considered a plus. * Hands-onexperience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on- experience with ...

Hands-on proficiency with Java, Selenium, Cucumber/Gherkin & API testing (REST/SOAP). * Experience ... Data engineering and data modeling experience with databases such as MongoDB, ElasticSearch, Oracle ...

$60.25 - $80.75/hr

Scalable data stores (e.g., Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch) * Stream and ... Go, Java, Scala, or Rust Preferred Qualifications * Experience with large-scale IoT or telemetry ...

$60.25 - $80.75/hr

Scalable data stores (e.g., Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch) * Stream and ... Go, Java, Scala, or Rust Preferred Qualifications * Experience with large-scale IoT or telemetry ...

... with Elasticsearch/OpenSearch. including strong SQL proficiency. * Minimum 3 years hands-on ... Minimum 3 years Proficiency in Python or Java for automation, integration, and service development ...

... with Elasticsearch/OpenSearch. including strong SQL proficiency. * Minimum 3 years hands-on ... Minimum 3 years Proficiency in Python or Java for automation, integration, and service development ...

Showing results 21-40

Java Elasticsearch information

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What is a Java Elasticsearch developer?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.
Infographic showing various Java Elasticsearch job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 10% Part Time, 11% Contract, and 1% Nights. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Fircosoft Engineer

CEI

Pittsburgh, PA

Full-time, Contractor

Re-posted 26 days ago


Job description

AML EngineerJob at a Glance:

Title: AML Engineer
Location: Pittsburgh, PA ; Cleveland, OH ; Brunswick, NJ
Contract: W2 only, 8+ month contract with potential for extension or conversion to full time with either the client or CEI
Pay: $ 70/hour + optional medical, dental, vision, 401(k) match

Overview

Function: Risk Mitigation & Cost Optimization Domain: Financial Crime / Anti-Money Laundering (AML) Environment: Agile, cross-functional engineering teams Role Type: Hands-on, highly technical, data-intensive role Focus: Supporting and enhancing AML platforms, payments screening systems, and enterprise data pipelines

Key Responsibilities
  • Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives)
  • Conduct peer code reviews and support change management processes
  • Collaborate with deployment teams and AML business stakeholders
  • Design and develop data models, pipelines, and prototypes
  • Evaluate and present technical solutions, including tradeoffs and architecture options
  • Work across AML business functions including transaction monitoring and sanctions screening
  • Support, enhance, and integrate AML platforms including Actimize and FircoSoft
  • Partner with risk, compliance, and operations teams to improve screening effectiveness and data quality
Required Skills
  • Strong full-stack development experience: React, Angular, Java
  • Programming expertise: Python, PySpark, Java
  • Experience building scalable, high-performance applications in enterprise environments
  • Databases: MongoDB, ElasticSearch, Oracle, Apache Iceberg
  • Strong data engineering and data modeling experience
  • Experience working with large, distributed data sets and real-time processing systems
  • Hands-on experience with Actimize (IFM, SAM, RCM preferred)
  • Deep expertise with FircoSoft / LexisNexis Risk (LNRS) platforms
  • Strong knowledge of: Specifically V6 Fircosoft Experience AML transaction monitoring Sanctions screening and watchlist filtering Matching logic, alerting behavior, and investigation workflows
  • Understanding of sanctions compliance (OFAC) and regulatory requirements
  • Ownership of real-time payments screening platforms, including: SWIFT ISO 20022 ACH Fedwire RTP
  • Experience with: Customer & counterparty watchlist screening PEP, sanctions, adverse media, vessel, and high-risk entity screening
  • Hands-on work with: Firco model tuning and algorithm configuration Rule optimization and false-positive reduction strategies Data quality improvements across screening pipelines
  • Integration expertise across: Payments platforms Onboarding / KYC systems Case management and workflow tools
  • Strong experience with secure SDLC practices
  • CI/CD pipeline implementation and automation
  • Application security, vulnerability management, and compliance controls
  • 6+ years of experience in AML / Financial Crime technology
  • Proven experience in: Real-time payments screening environments Customer and PEP screening platforms
  • Demonstrated leadership within large, regulated financial institutions
  • Ability to lead and influence cross-functional teams across engineering, risk, and compliance
  • Experience supporting: Regulatory exams (OCC, Fed, etc.) Internal/external audits Remediation initiatives
  • Strong understanding of: AML controls, governance, and compliance frameworks Risk mitigation strategies
  • Strong background in: Enterprise data flows and large-scale integrations High-volume transaction processing systems Platform resiliency, scalability, and performance tuning
  • Experience integrating AML systems with: Payment processing platforms Data pipelines and analytics ecosystems
  • Strong verbal and written communication skills
  • Ability to present complex technical concepts to non-technical stakeholders
  • Experience creating technical design documentation and architecture diagrams
  • Comfortable working in cross-functional, highly regulated environments
Required Education
  • Bachelor’s degree in Computer Science, Engineering, or related field
Preferred Skills
  • Master’s degree
  • ACAMS or AML-related certifications
  • Oracle OFSAA / Actimize certifications
  • Cloud certifications (AWS / Azure Architect)
  • Deep FircoSoft + payments screening experience (especially real-time flows)
  • Strong Actimize + AML data pipeline exposure
  • Background working at large banks or AML consulting firms
  • Ability to operate at both: Hands-on engineering level Strategic AML platform level
Why Should I Apply?

Join an agile, cross-functional engineering team supporting and enhancing AML platforms, payments screening systems, and enterprise data pipelines. This role emphasizes real-time payments screening ownership, data quality improvements, and integration across payments and case management workflows.
#INDGEN #ZR