Associate Data Engineer

Penumbra is hiring an Associate Data Engineer in Alameda, CA (onsite) to support data solutions for analytics, reporting, and operational decision-making.

Responsibilities

• Support organizational and performance-related initiatives by identifying operational challenges and opportunities across competitive, scheduling, and resource activities
• Collect, organize, and maintain data from internal databases, historical performance records, operational systems, financial data, and stakeholder input
• Partner with managers, coaches, and subject-matter experts to understand workflows, constraints, and operational objectives
• Analyze data to find trends, patterns, and performance drivers tied to operational efficiency and strategic planning
• Use quantitative and analytical methods for planning and evaluation, including basic forecasting, comparative analysis, and scenario assessment
• Assist with development, testing, and use of analytical models and tools for performance optimization, scheduling, and resource allocation decisions
• Evaluate alternative strategies by comparing outcomes, risks, and tradeoffs using data-driven methods
• Create reports, summaries, and presentations that communicate findings and recommendations clearly to managers and stakeholders
• Provide ongoing analytical support by updating analyses, monitoring outcomes, and refining assumptions as new data arrives
• Contribute to cross-functional projects with data analysis and operational insights aligned to broader organizational goals
• Follow the Company’s Quality Management System (QMS) and applicable domestic and global quality system regulations, standards, and procedures
• Apply relevant security, privacy, and compliance principles and adhere to applicable regulations, standards, and procedures
• Ensure other department members follow QMS, regulations, standards, and procedures
• Perform other work-related duties as assigned

Requirements

• Bachelor’s degree in computer science, data science, or a related field with 1+ years of experience, or an equivalent combination of education and experience
• Master’s degree preferred
• Prior work experience or internships in data science, data analysis, or a related area is a plus
• Proficiency in Python for automation, API interaction, and rapid prototyping
• Strong SQL skills
• Familiarity with prompt engineering, basic NLP/Regex techniques, and foundational ML algorithms (regression, classification, clustering, decision trees)
• Hands-on experience with Generative AI (GenAI) tools
• Experience with Azure AI Studio, including configuring resources, deploying models, and fine-tuning
• Proactive approach to learning and applying new techniques and tools in real-world projects
• Strong critical thinking, problem-solving mindset, and analytical skills
• Strong oral, written, and interpersonal communication skills
• High degree of accuracy and attention to detail
• Proficiency with MS Word, Excel, and PowerPoint
• Excellent organizational skills, with ability to prioritize assignments and handle multiple projects simultaneously

Technologies

• Python
• SQL
• NLP
• Regex
• Generative AI (GenAI)
• Azure AI Studio
• MS Word
• Excel
• PowerPoint

Benefits

• Competitive compensation package plus a benefits and equity program, when applicable
• Medical, dental, vision
• Life, AD&D
• Short and long-term disability insurance
• 401(k) with employer match
• Paid parental leave
• Eleven paid company holidays per year
• Minimum of fifteen days of accrued vacation per year, increasing with tenure
• Paid sick time in compliance with applicable law(s)

Working Conditions

• General office environment
• Willingness and ability to work on site
• Some lifting and moving of up to 10 pounds
• Ability to move between buildings and floors
• Ability to remain stationary and use a computer or standard office equipment (including a printer or copy machine) for extensive periods each day
• Ability to read, prepare emails, and produce documents and spreadsheets
• Ability to move within the office and access file cabinets or supplies as needed
• Ability to communicate and exchange accurate information with employees at all levels on a daily basis

Annual Base Salary Range: $80,000 - $131,000/year