Network Data Scientist Engineer

Delart • Menlo Park, CA

117d

About The Position

Delart is home to a team of world-class engineers and project leaders dedicated to developing the next generation of advanced networking technologies, consumer devices, and innovative technology solutions. Trusted by some of the world’s leading technology companies, we deliver highly scalable, mission-critical solutions that power both consumer and business applications globally. Since our founding in 2017, we have been at the forefront of designing cutting-edge networking, telecommunications, and consumer products, while driving end-to-end project execution and creating transformative technology applications. The Network Infrastructure Data Science Engineer will play a pivotal role in transforming complex data from end-to-end network infrastructure and lab testbeds into actionable insights. This role focuses on developing and implementing advanced data extraction and visualization processes to support networking tasks.

Requirements

• Proficiency in Python and Bash for automation scripting and data processing.
• Extensive experience with SQL, InfluxDB, Hive, and ODS for data storage and querying.
• Familiarity with networking protocols and technologies, including network infrastructures and wireless.
• Hands-on expertise with data extraction tools such as Wireshark/pcap and exposure to packet capture analysis.
• Proficiency in using data visualization platforms like Grafana, InfluxDB, and matplotlib.
• Experience in developing and managing ETL processes with tools like SQL, XML, and flat files.
• Strong Unix/Linux system administration experience, including scripting in bash and perl for system automation and process management.

Nice To Haves

• Subject matter expertise in data formats including JSON, XML, and YAML.
• Familiarity with API communication technologies such as WebSocket and REST for integrating with lab testbeds and systems.
• Knowledge of network tools and streaming analytics for real-time data processing and visualization.

Responsibilities

• Extract, merge, and analyze data from multiple sources, including mobile devices, lab equipment, and databases using advanced tools like Wireshark/pcap and sFlow.
• Develop scripts and queries in Python and Bash to automate data extraction, communication with APIs, and report generation.
• Manage and operate lab testbeds and benchmarking platforms, conducting tests and troubleshooting issues to maintain optimal performance and data integrity.
• Design and implement ETL processes to analyze raw data, and synthesize findings into actionable recommendations.
• Integrate and process data for visualization using tools such as Grafana, InfluxDB, and matplotlib, generating automated reports and providing insights to stakeholders.
• Document ETL processes, and provide detailed operational guidelines.

Benefits

• Premium PPO and HMO medical insurance
• Dental and vision coverage
• Flexible spending accounts (FSA)
• Life insurance
• Short- and long-term disability insurance
• Company-matched 401(k) plan
• Generous paid time off policy

What This Job Offers

• Number of Employees: 51-100 employees