Lead Java Engineer

Hybrid in Chicago, IL, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
Hybrid
$140,000 - $160,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Java
  • Spark
  • GCP

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90932951
  • Position Id: 9104812
  • Posted 7 hours ago
Contact the job poster
PD

Pradip Divekar

Recruiter @ Nitor Infotech
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