TL;DR
Senior Software Engineer (Backend): Build and deliver scalable data products and high-performance distributed databases with an accent on data pipeline design, real-time and batch processing workflows, and system reliability. Focus on designing and optimizing backend applications, integrating emerging technologies, and ensuring architectural alignment in a hybrid work environment.
Location: Hybrid work with time split between Oakland, CA office and telecommuting from another U.S. location
Salary: $213,600-$215,000/year
Company
hirify.global is a leading audio entertainment company providing satellite radio and streaming services.
What you will do
- Collaborate with backend, product, and quality engineering teams to build and deliver data products for stakeholders
- Design, implement, and optimize data pipelines for real-time and batch processing workflows
- Develop and maintain high-performance, distributed databases supporting analytics and data applications
- Evaluate and integrate emerging technologies to enhance data engineering efficiency and system reliability
- Create and maintain technical documentation covering architecture, data lineage, and engineering standards
- Lead root-cause analysis and resolution of data issues, driving long-term fixes and preventative measures
Requirements
- Must have a Master’s degree in Computer Science, Data Science or Engineering with 2+ years experience or Bachelor’s degree with 5+ years progressive experience
- Must be located in the U.S. with hybrid work in Oakland, CA and telecommuting from another U.S. location
- Experience with Java, SQL distributed databases, SOAP architecture, and web services development
- Knowledge of system design, object-oriented design, continuous integration, and testing processes
- Experience with database functions, procedures, triggers, and deployment on Web Application Servers
- Familiarity with Jira for defect tracking and resolution
Culture & Benefits
- Hybrid work model with flexibility to telecommute within the U.S.
- Collaborative engineering environment with cross-functional teams
- Opportunities to work with large, complex datasets and emerging technologies
- Focus on quality, architectural alignment, and continuous improvement
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