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Kiddom

Senior Data Engineer

Sorry, this job was removed at 08:08 p.m. (PST) on Monday, May 12, 2025
Hybrid
San Francisco, CA
Hybrid
San Francisco, CA

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About Kiddom

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.

The Data Architecture team builds and supports Kiddom’s data systems. In addition to improving the core architecture of our curriculum graphs and analytics, they also support other teams in the company and their usage of the Kiddom data platform, with an eye for student data privacy and security.

You will work closely with other departments, including Product, Engineering, and Analytics, to understand and cater to their data needs. You will also define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing.

We are looking for someone with excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholdersDo you have a strong understanding of PII compliance and best practices in data handling and storage. If you also exhibit strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy, we want to chat!

You will...

  • Design, build, and maintain scalable data pipelines to transform raw data into analytics-ready datasets.
  • Ensure optimal performance, reliability, and efficiency of the data pipelines.
  • Monitor and Deploy the data infrastructure for performance bottlenecks and implement optimizations as necessary.
  • Collaborate with other engineering teams to ensure seamless data integration with high availability.
  • Leverage SQL, DBT, Golang, Python, Terraform and AWS tools to enhance our data infrastructure.
  • Keep the Kiddom team updated on the latest advancements in AI and data engineering tools and best practices.

What we're looking for...

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • 3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering)
  • Expertise with RDMS and Data Warehousing, demonstrating ability to design and optimize data pipelines, systems and architectures.
  • Experience in managed services for data ingestion/processing with hands-on experience working in AWS environments and operational experience with deploying infrastructure on AWS using Terraform. 
  • Expert-level knowledge of SQL and a solid understanding of NoSQL & graph databases (e.g., Cassandra, Neptune).
  • Experience with distributed compute platforms and frameworks, such as Kubernetes/ECS, AWS Lambdas, Spark and distributed storage systems.
  • Expertise with any of data orchestration platforms such as Airflow, Dagster, Prefect or similar frameworks.

Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.

What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* Competitive salary
* Meaningful equity
* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
* One Medical membership (in participating locations)
* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
* 10 paid sick days per year (pro rated depending on start date)
* Paid holidays
* Paid bereavement leave
* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
* Commuter and FSA plans

Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

HQ

Kiddom San Francisco, California, USA Office

We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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