Senior Apache Spark Engineer – Remote Work

About the role

As a Senior Apache Spark Engineer you will design and develop high‑performance data processing applications that handle massive datasets. You will collaborate with engineering teams to build scalable backend architectures and robust distributed systems.

Key responsibilities

• Architect and implement distributed data processing applications using Apache Spark.
• Develop and optimise robust backend services and scalable distributed architectures using Java.
• Build and maintain continuous integration and deployment pipelines to automate software delivery.
• Design containerised solutions and leverage cloud‑native services to deploy reliable systems.
• Establish automated testing frameworks to guarantee code quality and pipeline stability.

Required profile

• 5+ years of experience in software engineering or a related field.
• Proven expertise in Apache Spark for large‑scale data processing.
• Strong hands‑on experience in advanced Java development and distributed systems.
• Solid understanding of automated testing, CI/CD, and containerisation.
• Experience with cloud‑native development and backend architectures.
• Advanced proficiency in English.

Required skills

• Apache Spark
• Java
• CI/CD
• Containerisation
• Cloud‑native development
• Automated testing frameworks
• Distributed systems

What we offer

• 100% remote work from anywhere.
• Excellent compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours – create your own schedule.
• Paid parental leave, vacations and national holidays.
• Innovative, multicultural environment with top‑tier talent.
• Mentorship, promotions, skill development and diverse growth opportunities.