Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Software Engineer - Hive in the United States. This role offers the opportunity to contribute to cutting-edge data platform engineering, focusing on large-scale, distributed SQL query systems. The Senior Software Engineer will drive innovation in query optimization, performance, and scalability while collaborating on open-source projects and building components that enhance the Hive ecosystem. You will work closely with cross-functional teams to deliver robust, high-quality software solutions for cloud-based and on-premises environments. Ideal candidates are hands-on programmers with a deep understanding of database internals, distributed systems, and query processing. This position encourages creativity, technical leadership, and contributions to high-impact data engineering projects that serve enterprises across multiple industries. Accountabilities Design, develop, and maintain features for distributed query engines, focusing on Hive and the broader data platform ecosystem. Optimize SQL queries for performance, scalability, and efficiency in large-scale production environments. Write technical design documentation for key features and architectural components. Collaborate with cross-functional teams on product development, code reviews, and software quality improvements. Contribute to open-source projects and enhance the Hive ecosystem. Understand customer workloads and deliver effective technical solutions aligned with business needs. Develop automated tests and participate in CI/CD processes to maintain code quality and reliability. Bachelor’s or Master’s degree in Computer Science or equivalent experience, with at least 6 years in software engineering. Strong programming skills in Java and solid knowledge of data structures and algorithms. Experience with query optimization tools, such as Apache Calcite. Deep understanding of database internals, query processing, and SQL query optimization. Familiarity with distributed systems, parallel computing, and large-scale data processing. Excellent written and verbal communication skills. Ability to work effectively on cross-functional, collaborative projects. Clean coding habits, attention to detail, and a focus on delivering high-quality software. Preferred Qualifications: Contributions to open-source projects like Hive, Impala, or Calcite. Experience with Hadoop ecosystem tools and file formats such as Parquet or ORC. Knowledge of public cloud platforms including AWS, Azure, or GCP. Recognized open-source contributions or experience in RDBMS development. Generous PTO policy and flexible work-from-home options. Support for work-life balance through Unplugged Days. Comprehensive health, dental, and vision insurance. Mental and physical wellness programs. Phone and internet reimbursement. Career development and training opportunities. Paid volunteer time and access to Employee Resource Groups. Competitive compensation and benefits packages. 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 3 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! #LI-CL1