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InterSources

Quantexa Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Quantexa Engineer (GCP | Elasticsearch | Scala/Java) About the Role We're seeking a Quantexa Engineer to build and scale data-driven decision intelligence solutions leveraging the Quantexa platform.

Tech Digital Group

Quantexa Developer

Whippany, NJ · On-site

Quantexa Developers - Quantexa accredited developers in Whippany. They must not only be accredited (in the technical certification) but also must have 2+ years of hands on Quantexa development ...

Han Staffing

Quantexa Developer

Iselin, NJ · On-site

We are looking for a Quantexa Developer - Financial Crime to design, build, and implement advanced decision-intelligence solutions that help detect and prevent AML, KYC, fraud, sanctions breaches ...

Volto USA

Quantexa Technical Lead

Hartford, CT · On-site

Quantexa Technical Lead Skills: Digital : Scala~Unix Shell Scripting and text processing tools~Unix / Linux Basics and Commands Experience Required: 10 & Above * Top 3 Required Skills: Quantexa ...

Quantexa

Technology Account Partner - Banking

New York, NY · On-site

$165K - $200K/yr

That's how we do things at Quantexa - together. Our business is data, but our culture is collective. We are about growth, but not just for the bottom line. We create a culture where people feel ...

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Quantexa Jobs Information

What is it like to work at Quantexa?

Quantexa is a data analytics company that values innovation, collaboration, and customer-centricity, fostering a dynamic and supportive work environment.

The company's team structure is designed to encourage cross-functional collaboration, with employees working together to develop and implement cutting-edge data analytics solutions for various industries. Quantexa's mission is to empower organizations to make data-driven decisions by providing advanced technology and expertise.

Working at Quantexa may appeal to candidates who are passionate about data analytics, innovation, and problem-solving, as the company offers opportunities to work on complex projects, develop new skills, and contribute to the growth of a rapidly expanding organization.

What makes Quantexa an attractive place to work?

Quantexa is a leading provider of AI-powered network analytics and risk management solutions, recognized for its expertise in helping organizations uncover hidden risks and opportunities. The company fosters a dynamic and collaborative work environment that encourages innovation, creativity, and open communication among its employees, with a focus on delivering high-quality solutions and exceptional customer service. Joining Quantexa offers professionals the opportunity to contribute to the development of cutting-edge technology, work on complex challenges, and advance their skills in a rapidly evolving industry.
Infographic showing various job openings at Quantexa in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Quantexa Engineer

InterSources

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Re-posted 25 days ago

Job description

Location: NYC or Charlotte, NC(Uptown)
Hybrid: Onsite 3x per week
Interview process: Resume Review 2/27 at 10 AM- Slot candidates into interview Monday-Wednesday the following week.
Quantexa Engineer (GCP | Elasticsearch | Scala/Java)
About the Role
We're seeking a Quantexa Engineer to build and scale data-driven decision intelligence solutions leveraging the Quantexa platform. You'll design and implement entity resolution, network/graph analytics, and risk detection use cases across large-scale GCP data environments. The ideal candidate has hands-on engineering experience with Scala or Java, Elasticsearch, and modern big data pipelines—and can translate business requirements into production-grade Quantexa solutions.
What You'll Do
  • Design & Build Quantexa Solutions
    • Implement entity resolution (ER), matching rules, network generation, and contextual analytics using Quantexa SDKs and configuration frameworks.
    • Develop custom Quantexa scoring, models, and rules for AML, fraud, KYC/CDD, credit risk, customer 360, or supply chain risk.
  • Data Engineering on GCP
    • Ingest, transform, and model large-scale datasets using BigQuery, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Storage.
    • Build CI/CD–enabled data pipelines (e.g., Cloud Build, Terraform, GitHub Actions) and optimize for performance and cost.
  • Search & Retrieval
    • Design and tune Elasticsearch indices for entity and network search; implement analyzers, relevance tuning, aggregations, and resilient query patterns for high QPS workloads.
  • Software Engineering
    • Develop microservices or batch jobs in Scala or Java, integrating Quantexa APIs/SDKs.
    • Implement unit/integration tests and quality gates; ensure observability (logging, metrics, tracing).
  • Data Quality & Governance
    • Establish data profiling, standardization, and deduplication practices; define match/merge thresholds and survivorship strategies.
    • Partner with InfoSec to meet security, privacy, and compliance requirements (e.g., SOC 2, ISO 27001; AML/KYC in FS contexts).
  • Production Operations
    • Deploy and operate Quantexa components on GCP (Kubernetes/GKE or managed services).
    • Monitor performance, troubleshoot pipelines, and drive continuous improvement.
Required Qualifications
  • 3–7+ years of software or data engineering experience (open to leveling up or down).
  • Hands-on Quantexa implementation experience (projects involving ER, scoring rules, and network/graph building).
  • Strong programming in Scala or Java (collections, concurrency, functional patterns preferred).
  • Solid GCP big data expertise: BigQuery, Dataflow/Beam, Dataproc/Spark, Pub/Sub, Cloud Storage, Cloud Composer (or Airflow).
  • Elasticsearch: schema design, indexing strategies, analyzers/tokenizers, query DSL, performance tuning, cluster ops basics.
  • Experience with Spark (RDD/DataFrame APIs), SQL, and data modeling for analytics/graph workloads.
  • CI/CD and DevOps fundamentals: Git, Cloud Build/GitHub Actions, Terraform (or similar), Containerization (Docker), GKE.
  • Strong understanding of data quality, matching logic, and survivorship rules.
  • Excellent communication skills and the ability to partner with business/SME teams.
Nice to Have
  • Financial Services use cases: AML, sanctions screening, fraud, KYC/CDD, correspondent banking, trade surveillance.
  • Graph technologies: Neo4j, GraphFrames, Gremlin, NetworkX.
  • Streaming: Kafka / Pub/Sub → Dataflow pipelines for near-real-time ER.
  • Observability: Cloud Monitoring, Cloud Logging, Prometheus/Grafana.
  • Security & governance: IAM, VPC-SC, KMS, DLP tooling.
  • Python for data tooling and orchestration.
  • Familiarity with Quantexa Workbenches, visualization, and case management integrations.
Education / Certifications (Preferred)
  • Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field.
  • Google Cloud Professional Data Engineer or Professional Cloud Architect.
  • Elastic Certified Engineer (plus).
  • Quantexa training/certifications (nice to have; employer-funded if not present).
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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