Marvell Technology

Senior Staff Software Engineer/Database Engineer -- RELIANT Telemetry Platform / ETL / PostgresQL

Marvell Technology$132K — $196K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 like PostgreSQL, MySQL, TimescaleDB, or InfluxDB.
  • Hands-on experience with ETL processes and large-scale data systems.
  • Advanced Python development experience, particularly with APIs and data processing libraries.
  • Solid understanding of database performance tuning, scaling, and reliability.
  • Experience in Linux environments and with Git workflows.

Responsibilities

  • Design and build scalable database systems for high-volume telemetry data.
  • Develop and maintain ETL pipelines for telemetry data ingestion and normalization.
  • Optimize database schemas and queries for performance and reliability.
  • Build Python-based services and APIs for data processing and integration.
  • Support real-time and historical analytics along with data validation.
  • Collaborate with cross-functional teams to define data requirements.
  • Provide technical leadership and mentorship to other engineers.

Benefits

  • Employee stock purchase plan with a 2-year look back.
  • Family support programs for work-life balance.
  • Robust mental health resources for wellness.
  • Recognition and service awards to celebrate contributions.
Full Job Description
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.

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.

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About Marvell Technology

Marvell Technology is a semiconductor company that designs and develops analog, mixed-signal, and digital signal processing integrated circuits. The company's product portfolio includes processors, connectivity, storage, and security solutions. Marvell's customers operate in various industries, including data center, enterprise, automotive, industrial, and consumer electronics. The company was founded in 1995 and is headquartered in Santa Clara, California.
Learn more about Marvell Technology
Size
6,729 employees
Market Cap
$30.6 billion
Industry
Net Income
-$277.3 million
Founded
2013
5 Year Trend
+14.2%
Revenue
$2.9 billion
NASDAQ

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