Senior Big Data Engineer - Remote & Growth Opportunities

GlobalLogic Inc.; New Jersey; Hybrid; USD 110,000 - 115,000; Full time

Benefits offered by this job

Exciting projects

Collaborative environment

Work-life balance

Professional development

Benefits package

Job summary

GlobalLogic in New Jersey is seeking an experienced Data Engineer to design and lead end-to-end data integration from diverse sources, with a focus on scalable, secure solutions across the technology stack.

You will work hands-on with Java, Python, Scala, and SQL on big data and streaming platforms, especially Kafka, and help optimize data flows, pipelines, lakes and warehouses. The role offers a salary range of $110,000–$115,000 and flexible work options.

Qualifications

• Proficiency in Java, Python, Scala, SQL.
• Strong analytical capabilities and communication skills.
• Ability to facilitate team collaboration.

Responsibilities

• 5+ years of hands-on data application design and implementation in production using Java, Python, or Scala on big data platforms.
• 5+ years of hands-on experience with streaming technologies, especially Kafka and Apache ecosystem on Linux.
• Optimize data flow and design scalable data pipelines, including data lakes and warehouses on containerized clusters.
• Strong understanding of distributed data architecture concepts (caching, MapReduce, stream processing).
• Knowledge of data security, governance, and compliance.
• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or related field.

Skills

Java

Python

Scala

SQL

Education

Bachelor's or Master’s degree in Computer Science/Engineering/Math

Job description

GlobalLogic in New Jersey is seeking an experienced Data Engineer to design and lead end-to-end data integration from diverse sources, with a focus on scalable, secure solutions across the technology stack.

You will work hands-on with Java, Python, Scala, and SQL on big data and streaming platforms, especially Kafka, and help optimize data flows, pipelines, lakes and warehouses. The role offers a salary range of $110,000–$115,000 and flexible work options.