> Markdown version of [/jobs/ext/3535311-quantexa-engineer](https://www.wearedevelopers.com/jobs/ext/3535311-quantexa-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Quantexa Engineer

- **Company:** Intersources Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Big Data, BigQuery, Cloud Computing, Cloud Storage, Cyber Security, Computer Programming, Continuous Integration, Data Deduplication, Information Engineering, Data Governance, Data Profiling, DevOps, Elasticsearch, Data Flow Control, Github, Identity and Access Management, Python (Programming Language), Neo4j, Performance Tuning, Prometheus, Cloudera, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Data Logging, Google Cloud, Cloud Monitoring, Grafana, Concurrency, Database Optimization, Apache Spark, Build Server, Agentic-AI, Git, Build Management, Containerization, Integration Tests, Kubernetes, Information Technology, Performance Monitor, Apache Kafka, Terraform, Data Pipelines, Apache Beam, Docker, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.careerjet.com/job/usded84d064b1b8e075f25a1a0a58f1cce/eaa

## About the Role

* 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).

## Description

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.


## Related Videos

- [Quantum DevOps - Quantum Application Development](https://www.wearedevelopers.com/videos/1441-quantum-devops-quantum-application-development)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data)
- [Quantum DevOps - Enabling Industrial Engineering](https://www.wearedevelopers.com/videos/100282-quantum-devops-enabling-industrial-engineering)

## Related Articles

- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)