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Staff Data Platform Engineer - job 2 of 3

ClassDojo aims to enhance education globally through innovative communication tools, seeking a Data Platform Engineer to elevate their data initiatives and decision-making processes.

Skills

  • Experience with SQL and Python
  • Strong data engineering foundation
  • Collaboration and communication skills

Responsibilities

  • Build and maintain data platforms
  • Collaborate with engineering and business stakeholders
  • Drive impact through large-scale data projects
  • Ensure data accessibility and actionability

Education

  • Bachelor's degree in a related field
  • 7+ years in data/analytics engineering

Benefits

  • Equal employment opportunity
  • Accommodations for disabilities
  • Competitive compensation based on experience and location
To read the complete job description, please click on the ‘Apply’ button
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CEO of ClassDojo
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Usamah Chaudhary
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Average salary estimate

$195000 / YEARLY (est.)
min
max
$146000K
$244000K

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 Staff Data Platform Engineer, ClassDojo

Join ClassDojo as a Staff Data Platform Engineer and become part of a mission-driven team that is reshaping how education is delivered around the globe. Based in San Francisco, California, ClassDojo is on a journey to provide every child with an education they love, connecting teachers, parents, and kids through the world’s leading communication app. This role is not just about engineering; it's about making data more accessible and actionable, which is crucial for driving informed decisions across our growing organization. With over 7 years of experience in data and analytics engineering, you'll take ownership of large-scale data projects that profoundly impact our educational ecosystem. Your collaborative spirit will shine as you work alongside engineers, data analysts, and scientists, building state-of-the-art data platforms. Your top-notch skills in SQL, Python, and infrastructure will help you design and implement innovative solutions that enhance learning experiences for millions of children. At ClassDojo, you’ll be a part of a diverse team made up of talented individuals from notable companies, all contributing to a culture of entrepreneurship and innovation. Here, your work will not only push your career to new heights but also contribute to pioneering the future of education. If you're passionate about being a catalyst for change in education, we invite you to explore this opportunity at ClassDojo!

Frequently Asked Questions (FAQs) for Staff Data Platform Engineer Role at ClassDojo
What are the main responsibilities of the Staff Data Platform Engineer at ClassDojo?

As a Staff Data Platform Engineer at ClassDojo, your primary responsibilities include making data accessible and actionable, leading large-scale data projects, and collaborating with various teams to support data-driven decision-making. You'll play a critical role in improving the data ecosystem that enables educators and families to enhance learning experiences. This means you'll need a strong foundation in data engineering, along with excellent SQL, Python, and infrastructure skills to build robust data platforms.

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What qualifications are required for the Staff Data Platform Engineer position at ClassDojo?

To qualify for the Staff Data Platform Engineer role at ClassDojo, you should have at least 7 years of experience in data or analytics engineering. It's essential to have experience owning and delivering large-scale data projects that impact an organization. Additionally, excellent collaboration skills are a must since you'll be working closely with various stakeholders, including data analysts and data scientists. A strong technical foundation in SQL and Python is crucial for designing and implementing effective data solutions.

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How does ClassDojo foster collaboration among teams for the Staff Data Platform Engineer role?

At ClassDojo, collaboration is at the heart of our culture, especially for the Staff Data Platform Engineer role. You'll be working with engineers, data scientists, and business stakeholders who share a commitment to enhancing educational outcomes. Our organization values effective communication and teamwork, making it easier for you to support and partner with others to drive significant impact through data solutions. This collaborative approach ensures that everyone has a voice, leading to innovative problem-solving and successful project implementation.

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What does the work environment look like for a Staff Data Platform Engineer at ClassDojo?

The work environment for a Staff Data Platform Engineer at ClassDojo is dynamic and inclusive, fostering an entrepreneurial spirit. Being a distributed company, we offer flexibility in where you work, provided you can collaborate effectively during overlapping hours with one of the Americas time zones. You'll be part of a diverse team made up of skilled individuals who are passionate about education, creating a stimulating atmosphere where you can grow and maximize your potential.

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What skills are emphasized for the Staff Data Platform Engineer position at ClassDojo?

In the Staff Data Platform Engineer role at ClassDojo, technical excellence is pivotal. You will need exceptional skills in SQL and Python, alongside a strong understanding of data infrastructure. The ability to design and build comprehensive data platforms is essential, as well as having an ownership mindset, which will empower you to drive projects from conception to completion. Your capability to collaborate effectively and communicate insights will also be highly valued.

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Common Interview Questions for Staff Data Platform Engineer
Can you discuss a large-scale data project you managed and its impact?

When answering this question, focus on your role, the technologies used, the challenges faced, and most importantly, the measurable impact the project had on the organization. Highlight specific metrics, like efficiency improvements or user engagement increases. Use the STAR method (Situation, Task, Action, Result) to structure your response.

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How do you ensure data quality in your projects?

Discuss your methods for maintaining data quality, such as implementing validation checks, regular audits, and robust testing procedures. Talk about your experience with data cleaning and the tools you use to automate and document these processes.

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What data stack have you worked with in the past?

Share details of the data stack you have experience with, including databases, ETL tools, and any frameworks like Apache Spark or Hadoop. Emphasize how you've leveraged these tools to solve problems or improve processes in your past roles.

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How do you handle collaboration with cross-functional teams?

Describe your approach to collaboration, such as how you facilitate communication and share project updates with non-technical stakeholders. Mention any tools or strategies you use to keep teams aligned and ensure everyone understands the project goals and progress.

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What techniques do you use to prioritize your workloads?

Explain your methods for prioritization, focusing on how you balance immediate tasks with longer-term projects. Discuss the importance of stakeholder input and data-driven decision-making in your prioritization process.

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Can you give an example of how you've used SQL in a project?

Bring up a specific project where SQL was central to your work. Discuss the complexity of the queries you wrote, how the data was used, and the outcome of your analysis. Make sure to highlight any optimizations you implemented.

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What has been your experience with data visualization tools?

Share which data visualization tools you've used, such as Tableau, Power BI, or Looker, and how you've applied these tools to present data insights effectively. Discuss how data visualization aids stakeholders in understanding trends and making decisions.

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What is your experience with Python for data engineering tasks?

Talk about how you have used Python in your past data engineering projects. Mention specific libraries or frameworks you worked with, like Pandas or Apache Airflow, and explain how they helped you automate processes or enhance data manipulation.

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How do you stay updated with industry trends in data engineering?

Discuss your methods for staying informed, whether through online courses, webinars, blogs, or networking with professionals in the field. Mention specific resources you follow or professional groups you are part of to enhance your knowledge continually.

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Describe a time when you had to troubleshoot a data-related issue.

Provide a specific example where troubleshooting was critical. Outline the problem, the steps you took to diagnose and resolve the issue, and the ultimate outcome. This will demonstrate your problem-solving skills and technical expertise.

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ClassDojo’s mission is to give teachers, parents, and students the power to create incredible classrooms.

54 jobs
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BADGES
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CULTURE VALUES
Mission Driven
Customer-Centric
Rapid Growth
Startup Mindset
Flat Organization
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$146,000/yr - $244,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
February 21, 2025

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