Senior Staff Software Engineer (Impala Performance Engineer)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Software Engineer (Impala Performance Engineer) in Hungary.

We are seeking a highly experienced Senior Staff Software Engineer to optimize performance and scale for large-scale data warehouse systems. In this role, you will collaborate across distributed teams to design, benchmark, and enhance high-performance, cloud-native solutions. Your work will directly influence how data engineers and analysts extract insights efficiently from massive datasets. This role requires hands-on expertise in distributed systems, performance engineering, and coding, as well as leadership in cross-functional collaboration. You will operate in an international, hybrid environment, contributing to the evolution of enterprise-grade data platforms. This position offers a unique opportunity to shape cutting-edge analytics technology while mentoring a team and driving technical excellence.

• Accountabilities:
• Lead performance optimization and benchmarking for large-scale distributed data systems.
• Collaborate with internal teams and external contributors to drive performance improvements across the data warehouse stack.
• Analyze system behavior to identify bottlenecks and propose solutions for scalability, reliability, and efficiency.
• Conduct root cause analysis for performance issues reported internally or by customers, recommending corrective actions.
• Evaluate and compare performance of competing systems to inform engineering decisions.
• Work closely with product managers and engineering teams to understand workload requirements and translate them into scalable solutions.
• Mentor and guide engineers, setting technical standards, reviewing code, and fostering collaboration.
• Contribute to architecture and design discussions to ensure robust, production-ready solutions.
• Requirements:
• 8+ years of professional experience in performance engineering for large-scale distributed systems.
• Deep understanding of DBMS algorithms, data structures, and full-stack system performance (CPU, RAM, storage, network, Linux kernel, JVM).
• Hands-on experience in Java, C++, Golang, or Python.
• Familiarity with containerization, Kubernetes, and cloud-based infrastructures.
• Experience with performance measurement methodologies, tools, and analysis techniques.
• Proven ability to lead cross-functional projects in a distributed, international team environment.
• Preferred: experience with the Hadoop ecosystem (Impala, Hive, Kudu), public cloud services (AWS, Azure, GCP), and advanced analytics frameworks (Spark, Airflow).
• Strong problem-solving, communication, and collaborative skills.
• Bachelor’s or Master’s degree in Computer Science or equivalent experience.
• Benefits:
• Flexible hybrid work model with remote work options.
• Generous paid time off policy and “Unplugged Days” for work-life balance.
• Mental and physical wellness programs.
• Career development support and access to learning resources.
• Phone and internet reimbursement.
• Competitive compensation and comprehensive benefits package.
• Paid volunteer time and inclusion in employee resource groups.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.