Senior Java Engineer (Data Pipelines, PySpark)

We are looking for a Senior Java Engineer with strong experience in building data pipelines and distributed data processing systems.

Requirements:

• 5+ years of commercial experience with Java
• Strong backend development experience (microservices, APIs, distributed systems)
• Commercial experience with Python and PySpark (2+ years preferred)
• Experience building and maintaining data pipelines
• Hands-on experience with Spark ecosystem (Databricks / EMR / Hadoop / Apache Spark)
• Experience with real-time data processing systems
• Good understanding of data transformation and ETL processes
• Experience working with cloud environments (AWS is a plus)
• English — UPPER Intermediate+ or higher

Nice to have:

• AdTech experience
• Experience with Kafka or other streaming platforms
• Experience with large-scale high-load systems
• Understanding of ML data workflows

Responsibilities:

• Develop and support Java backend services and data pipelines
• Build and optimize PySpark data processing jobs
• Collaborate with ML engineers on data preparation and processing
• Work with distributed systems and real-time services
• Improve scalability and performance of data infrastructure

Tech Stack:

Java, Python, PySpark, Apache Spark, Databricks, AWS EMR, Hadoop, Kafka, Microservices

Working Conditions:

• Remote
• Full-time
• Working hours close to NY timezone preferred

What we offer:

Long-term project with competitive compensation.

Opportunities for team collaboration and growth.

Participation in both new software development and existing projects (no old code).