Senior Staff Software Engineer/Database Engineer
- RELIANT Telemetry Platform / ETL / PostgresQL Marvell
- 3.6 Westlake Village, CA Job Details $132,500
- $196,140 a year 1 day ago Benefits Employee stock purchase plan Qualifications Data Integration (Data management) System performance optimization Git Scalable systems ETL process automation APIs Scalability Linux System tuning Data performance optimization Python Full Job Description About Marvell Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world.
Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact Marvell is a leading provider of innovative technologies, including ultra-fast read channels, high-performance processors, leading edge transceivers, highly efficient analog designs, and powerful cryptographic engines. These solutions address all segments of the hard disk drive (HDD) and solid-state drive (SSD) electronics markets, providing complete solutions including controllers, product firmware, and reference board designs. Many of the same technologies have been utilized in Marvell system solutions products, powering PCs, servers, cloud, and enterprise systems. What You Can Expect About the Role We are looking for a Senior Database Engineer to help design, build, and scale the data infrastructure behind the RELIANT Telemetry Platform , which processes real-time telemetry data from data center and AI infrastructure. This role focuses on high-volume data ingestion, storage, processing, and analytics, working closely with firmware, systems, and application teams. Key Responsibilities Design and build scalable database systems to support high-volume, time-series telemetry data. Develop and maintain ETL (extract, transform, load) pipelines to ingest, normalize, and aggregate telemetry data from multiple sources. Optimize database schemas, queries, indexing, and retention strategies for performance and reliability. Build Python-based services and APIs for data processing, analytics, and customer integrations. Support real-time and historical analytics, including data validation and quality checks. Collaborate with cross-functional teams (firmware, hardware, DevOps, and UI) to define data requirements and integrations. Provide technical leadership, design guidance, and mentorship to other engineers. What We're Looking For Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. 7+ years of experience in backend or database engineering roles. Strong experience with relational and/or time-series databases (e.g., PostgreSQL, MySQL, TimescaleDB, InfluxDB). Hands-on experience building ETL (Extract, Transform, Load) data pipelines and large-scale data processing systems. Advanced Python development experience, including APIs and data processing libraries. Solid understanding of database performance tuning, scaling, and reliability. Experience working in Linux environments and with Git-based workflows. Preferred Qualifications Experience with telemetry, monitoring, or observability platforms. Familiarity with streaming or messaging systems (e.g., Kafka). Knowledge of containerized environments (Docker, Kubernetes). Background in data center, networking, or infrastructure systems. Expected Base Pay Range (USD) 132,500
- 196,140, $ per annum The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions.
The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage
- from internship to retirement and through life's most important moments.
Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-AP1
