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Lead Java Engineer

Nitor InfotechChicago, IL🇺🇸United StatesPosted Oct 25, 2026

Why this role stands out

This Lead Java Engineer role at Nitor Infotech offers a fantastic opportunity to shape scalable data and analytics platforms while collaborating with global teams in a hybrid setting. You'll thrive here if you have strong Java, Spark, and GCP expertise and enjoy tackling complex financial datasets, making this an excellent step for your career growth. Apply now to join their innovative technology team!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationChicago, IL, United States
PostedYesterday
Stakeholder ManagementApache SparkApacheGoogle CloudJavaVuePostgreSQLCI/CD

Job description

Role Overview
We are looking for a Lead Java Engineer to support the development of scalable data and analytics platforms. This role requires strong technical leadership, stakeholder communication, and coordination across onshore/offshore teams. The ideal candidate will have hands-on expertise in Java, Spark, and Google Cloud Platform, with experience working with large financial datasets and distributed databases such as Spanner. Full-stack exposure is a plus.

Key Responsibilities

  • Design and develop scalable backend services and data processing solutions using Java.
  • Build and optimize Spark-based large-scale data pipelines.
  • Develop and maintain data schemas and models supporting analytics workloads.
  • Collaborate with business stakeholders, product teams, and architects to translate requirements into technical solutions.
  • Coordinate development activities across onshore and offshore teams.
  • Optimize application performance and tune queries and data processing jobs.
  • Work with Google Cloud Platform services and distributed databases (e.g., Spanner).
  • Support QA activities, including validation, defect triage, and release readiness.

Required Skills

  • 8+ years of experience in Java backend development.
  • Strong experience with Apache Spark and large-scale data processing.
  • Hands-on experience with Google Cloud Platform services and cloud-native architectures.
  • Experience with data modeling, schema design, and performance optimization.
  • Familiarity with Spanner or other distributed databases.
  • Experience working with financial services or fintech data platforms.

Good to Have

  • Full-stack development experience, including exposure to Vue.js or modern UI frameworks.
  • Experience with PostgreSQL and relational database design.
  • Familiarity with CI/CD pipelines and DevOps practices.

Soft Skills

  • Strong communication and stakeholder engagement.
  • Experience leading or coordinating distributed engineering teams.
  • Ability to work closely with business, QA, and architecture teams.

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