Associate Data Engineer

Penumbra is building reliable data solutions that support analytics, reporting, and operational decision-making. In this onsite role in Alameda, CA, you will help develop and maintain the data pipelines, APIs, automation tools, and AI/ML technologies that keep teams moving with confidence.

What you’ll do

• Support operational and performance initiatives by identifying challenges and opportunities across competitive, scheduling, and resource-related activities.
• Collect, organize, and maintain data from sources including 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, so analyses reflect real-world conditions.
• Analyze data to uncover trends, patterns, and performance drivers tied to operational efficiency and strategic planning.
• Use quantitative and analytical methods to support planning and evaluation, including basic forecasting, comparative analysis, and scenario assessment.
• Assist with development, testing, and use of analytical models and tools for decision-making across performance optimization, scheduling, and resource allocation.
• Evaluate alternative approaches by comparing outcomes, risks, and tradeoffs using data-driven methods.
• Create reports, summaries, and presentations that clearly communicate findings and recommendations 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 by sharing data analysis and operational insights that advance broader organizational goals.

Quality, security, and compliance

• Follow the Company’s Quality Management System (QMS) and applicable domestic and global quality system regulations, standards, and procedures.
• Understand and adhere to relevant security, privacy, and compliance principles and procedures.
• Help ensure other department members follow QMS requirements, 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, and decision trees).
• Hands-on experience with Generative AI (GenAI) tools.
• Experience with Azure AI Studio, including configuring resources, deploying models, and fine-tuning.
• Proactive learning mindset to apply new techniques and tools in real-world projects.
• Strong critical thinking, problem-solving, 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 and ability to prioritize while handling multiple projects.

Tools you’ll use

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

Compensation and benefits

Annual base salary: $80,000 - $131,000 per year.

• Competitive compensation package plus a benefits and equity program, when applicable.
• Medical, dental, and vision insurance.
• Life insurance and AD&D.
• Short and long-term disability insurance.
• 401(k) with employer match.
• Paid parental leave.
• Eleven paid company holidays per year.
• At least 15 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 up to 10 pounds, plus the ability to move between buildings and floors.
• Must be able to remain stationary and use a computer or standard office equipment for extensive periods.
• Must be able to read, prepare emails, and produce documents and spreadsheets.
• Must be able to move within the office and access file cabinets or supplies as needed.
• Must be able to communicate and exchange accurate information with employees at all levels daily.