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Senior Data Engineer

ABOUT PLAUD AI

PLAUD AI is a pioneering AI-native hardware and software company that turns meetings and conversations into actionable insights with AI devices like PLAUD NOTE and PLAUD NotePin. By recording, transcribing, and summarizing real-life conversations, our solutions boost productivity and save time. Designed for precision and flexibility, whether in meetings or on the go, our products empower you to focus on creative, high-value work while AI handles the details.

We are a growing global team of hardware and software experts seeking advanced AI innovations that integrate with real-life user scenarios. Our newly established headquarters in San Francisco will collaborate with our teams in Shenzhen, Beijing, and Tokyo to extend AI benefits to users globally.

Visit https://www.plaud.ai to learn more.

WHY JOIN US

  • Join a skyrocketing team where your impact drives success and your career reaches new heights, along with what we have achieved, as shared below.

  • Global Leadership: Positioned uniquely to lead the future of work by leveraging innovative AI-driven devices and solutions.

  • Founded in December 2021: Bootstrapped, profitable, and experiencing explosive growth.

  • 10x Revenue Growth: Achieved 10x revenue growth for two consecutive years, reaching a $100 million run rate, with expectations for even greater expansion in 2025.

  • Proven Product-Market Fit: Over 400,000 devices shipped globally since November 2023, with users engaging for an average of 30 hours per month to enhance productivity.

  • New Initiatives: Expanding from consumer-focused products to industry-specific solutions and enterprise-level services.

  • Loved by Professionals: Our products are trusted by professionals in sectors such as healthcare and sales, where conversations drive success.

ABOUT THE ROLE

We are seeking an entrepreneurial and highly proactive Senior Data Engineer to design, develop, and scale our overall data infrastructure while ensuring strong data privacy and ease of use. In this role, you will consolidate diverse data streams—from raw input and processed insights to user engagement and performance metrics—into a unified, secure platform that empowers advanced data modeling, analysis, and predictive capabilities.

Your work will be pivotal in enabling seamless collaboration across our global teams and in unlocking the value hidden in our complex data landscape. You will collaborate closely with cross-functional teams, including product, hardware, and software, to align data strategies with business objectives, ensuring that our infrastructure supports both current needs and future innovations.

WHO SHOULD APPLY

The ideal candidate is a hands-on engineer with deep experience in data infrastructure, analytics, and data security, coupled with the ability to effectively communicate and collaborate with teams across borders. If you have a strong track record in building data solutions that empower decision making and prioritize both data privacy and usability, this role is for you.

WHAT YOU WILL DO

Data Infrastructure Development:

  • Architect, design, and implement a scalable data platform that integrates multiple data streams including raw recordings, transcriptions, summaries, user behavior, revenue, and hardware telemetry.

  • Ensure the data pipeline meets high standards for security, performance, and usability.

Data Modeling and Analysis:

  • Develop data models to support in-depth analysis, reporting, and predictive analytics.

  • Build and optimize ETL processes for efficient data processing and integration.

Privacy and Security:

  • Implement robust data governance and privacy protocols compliant with international standards.

  • Regularly audit data processes to ensure secure handling and storage of sensitive information.

Cross-functional Collaboration:

  • Work closely with software engineers, product managers, hardware teams, and international stakeholders to align data initiatives with company goals.

  • Facilitate effective communication and collaboration with global teams in the US, Asia, and beyond.

Innovation and Scalability:

  • Research new data engineering technologies and methodologies that can be integrated into our existing infrastructure.

  • Develop automation tools and dashboards to enhance data accessibility and insight generation.

WHAT YOU WILL BRING

Technical Expertise:

  • 5+ years of experience in data engineering, data architecture, or a related field.

  • Proven experience building and scaling complex data infrastructures in high-growth or startup environments.

Skills and Tools:

  • Strong proficiency with SQL/NoSQL databases, data warehousing, and data lakes.

  • Experience with cloud platforms (AWS, GCP, or Azure) and relevant data pipeline technologies (e.g., Apache Spark, Airflow, etc.).

  • Proficiency in programming languages such as Python, Java, or Scala.

Data Privacy Focus:

  • Extensive knowledge of data privacy laws and industry best practices.

  • Ability to design systems that protect sensitive user data while maintaining performance and usability.

Analytical & Strategic Thinker:

  • Excellent problem-solving skills with the capacity to transform business requirements into robust data solutions.

  • Strong quantitative abilities and a data-driven approach to decision-making.

Global Collaboration:

  • Effective communication skills and experience working with diverse, international teams.

  • Ability to clearly articulate data strategies and technical concepts to non-technical stakeholders.

Educational Background:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.

GREAT TO HAVE

  • Experience with machine learning pipelines, data visualization tools, and advanced analytics.

  • Prior background in sectors such as AI, IoT, consumer electronics, or enterprise software.

  • Familiarity with real-time data processing and streaming technologies.

  • A proactive mindset with a passion for building innovative, secure, and user-friendly data solutions.

WHAT WE OFFER

  • Founding Team: Opportunity to be part of the founding team and have ownership and impact on a startup rocketship.

  • Competitive Compensation: $170K-$220K base salary and performance bonus.

  • Employee Friendly Equity: Equity for all full-time employees and early exercise of options offered.

  • Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision.

  • Paid Time Off: Unlimited PTO, plus 13 paid holidays. The final week of the year off.

  • New Parent Leave: 12 weeks of paid time off to spend time with your new family.

  • Hybrid Office: Minimum of 3x in office per week.

  • Professional Development: $1,500 per year for coaching, courses, workshops, conferences, etc.

  • Gear: New hires are equipped with their choice of new top-of-the-line laptop with all the upgrades.

  • Retirement Planning: 401(k) plan for US employees with company matching.

  • Company Offsites: Bi-annual offsites to bring our team together and celebrate our achievements.

  • Perks: Best office equipment. Pet-friendly office. Free office drinks and snacks.

HOW TO APPLY

If you're passionate about building impactful products and want to be on the ground floor of a fast-growing company, we invite you to bring your expertise and vision to help shape the future of PLAUD AI. PLAUD Inc. is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.

Average salary estimate

$195000 / YEARLY (est.)
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$170000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, PLAUD ai

Welcome to PLAUD AI, where we are on a mission to transform meetings and conversations into actionable insights with our groundbreaking AI-driven products. As a Senior Data Engineer in our vibrant San Francisco office, you will play a key role in shaping our data infrastructure that underpins our innovative solutions like PLAUD NOTE and NotePin. Your expertise will help us consolidate various data streams into a secure and user-friendly platform that supports advanced analytics and predictive capabilities. In this exciting position, you will collaborate closely with product managers, software engineers, and hardware teams, ensuring our data architecture aligns perfectly with our business goals. We are searching for someone who not only has a hands-on approach to building scalable data solutions but also possesses a strong understanding of data privacy and security. If creating sophisticated data models, optimizing ETL processes, and implementing data governance policies sound appealing to you, then you’ll fit right in here. Join us and enjoy the benefits of being part of a company that has achieved remarkable growth and is changing how professionals engage with technology across industries. Your contributions will directly influence our success and the future of work. So, if you're ready to make an impact and develop cutting-edge data strategies in a fast-paced environment, apply today and let’s shape the future together at PLAUD AI!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at PLAUD ai
What are the responsibilities of the Senior Data Engineer at PLAUD AI?

As a Senior Data Engineer at PLAUD AI, your primary responsibilities will involve designing, developing, and scaling the company's data infrastructure to empower advanced data modeling and analysis. You will architect a scalable data platform that consolidates various data streams, develop data models for in-depth analysis, and ensure compliance with data privacy laws. Collaboration will be key as you work closely with cross-functional teams to align data initiatives with business objectives, ensuring a secure and user-friendly experience for all stakeholders.

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What qualifications are required for a Senior Data Engineer at PLAUD AI?

Candidates for the Senior Data Engineer position at PLAUD AI should ideally have 5+ years of experience in data engineering or a related field, with deep expertise in building and scaling complex data infrastructures. A strong proficiency in SQL/NoSQL databases, data warehousing, and familiarity with cloud platforms like AWS, GCP, or Azure is crucial. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field is also preferred, alongside knowledge in data privacy practices.

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What skills are emphasized for the Senior Data Engineer role at PLAUD AI?

The Senior Data Engineer at PLAUD AI should possess a well-rounded skill set, including strong proficiency in SQL and NoSQL databases, data warehousing, as well as key data pipeline technologies such as Apache Spark and Airflow. Programming abilities in languages like Python, Java, or Scala are also important. Additionally, candidates should have a solid understanding of data privacy and compliance protocols to ensure secure data handling while maintaining system performance.

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How does a Senior Data Engineer at PLAUD AI contribute to the company's growth?

In the role of Senior Data Engineer at PLAUD AI, you will significantly contribute to the company's growth by creating a robust data platform that optimizes how we gather and analyze insights from our innovative AI products. By facilitating cross-functional collaboration and ensuring data-driven decision-making, your work will help unlock hidden value within our data, ultimately driving productivity and enhancing user experience in our industry-leading solutions.

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What is the work culture like at PLAUD AI for a Senior Data Engineer?

The work culture at PLAUD AI is collaborative, innovative, and highly entrepreneurial, offering you a chance to be part of a fast-growing company at the forefront of AI technology. As a Senior Data Engineer, you’ll find yourself in a supportive environment where your contributions matter, and your work is recognized. With a global team ethos, you will engage with diverse international colleagues and have opportunities for professional development as you work on impactful projects that shape the future of how meetings and conversations are transformed into actionable insights.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience in building data infrastructures?

When responding to this question, highlight specific projects or systems you have built. Discuss the technologies used (like SQL, NoSQL, AWS) and focus on the scalability and performance aspects of the solutions you implemented. Emphasize any challenges faced and how you overcame them, framing your contributions in context with business outcomes.

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How do you ensure data privacy and security in your projects?

To effectively answer this question, discuss your knowledge of data privacy regulations and best practices you follow in designing data systems. Mention specific governance frameworks or protocols you've implemented, and describe processes like regular audits or compliance checks to ensure sensitive information is handled securely while maintaining system efficiency.

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What tools and technologies are you proficient in for data engineering?

When preparing your response, list the tools you’ve worked with, such as Apache Spark for processing, Airflow for orchestration, and any cloud services like AWS, GCP, or Azure. Mention specific use cases for these tools and how they helped you achieve project goals, showcasing your hands-on experience and versatility in data engineering.

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Can you provide an example of a complex data problem you solved?

For this question, choose a specific example that demonstrates your problem-solving skills. Describe the data challenge, the approach you took, the technologies involved, and the outcome. Focus on how your solution improved processes or provided valuable insights, making sure to link your experience back to how it can benefit PLAUD AI.

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How do you work effectively with cross-functional teams?

When answering, provide examples of past collaborative experiences. Discuss the importance of clear communication, setting shared goals, and being open to feedback. Mention tools or methods you’ve used to facilitate collaboration, and highlight why teamwork is critical in developing successful data initiatives, especially in a diverse company like PLAUD AI.

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What strategies do you use for data modeling?

In your answer, elaborate on the methodologies you utilize for data modeling, like dimensional modeling or normalization. Discuss your approach to understanding business requirements and how you translate them into effective data schemas. Highlight any tools you've employed, such as ERD or data visualization software, to illustrate your strategic planning in data architecture.

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Describe a time you had to optimize a data pipeline.

When responding to this question, outline a specific instance including the original pipeline's inefficiencies and the steps you took to optimize it. Detail the improvements made, such as reduced processing time or enhanced data quality, and the technologies leveraged to achieve these optimizations, emphasizing your results-oriented approach.

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What is your approach to ETL processes?

You should explain your understanding of ETL processes, detailing how you handle the extraction, transformation, and loading of data. Mention any specific ETL tools you’re familiar with, and provide examples of projects where you effectively managed ETL pipelines, showcasing the value added to your organization through efficient data processing.

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How do you keep current with industry trends in data engineering?

In your response, discuss resources you use to stay updated, such as blogs, webinars, or professional organizations in the data space. Mention any conferences you've attended or certifications that keep your skills fresh and relevant, underlining your commitment to continuous learning in the quickly evolving field of data engineering.

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What challenges do you foresee in data engineering for emerging technologies?

Here, frame your response around anticipated challenges such as managing large volumes of data from IoT devices or maintaining data integrity with emerging AI technologies. Discuss the skills and strategies necessary to meet these challenges, positioning yourself as someone who proactively addresses future data needs while balancing innovation and security.

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about plaud.ai: - mission——the aiaas company to connect ai with real life. - plaud.ai develops ai devices and ai agents to perform as ai business partners for individuals and businesses to achieve the most. - plaud note, the world's 1st chatgpt ...

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DATE POSTED
April 11, 2025

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