Senior Data Engineer

Kiddom•San Francisco, CA

2d•$150,000 - $220,000

About The Position

Kiddom is redefining how technology powers learning. We combine world-class curriculum with cutting-edge AI and modern SaaS infrastructure to help schools deliver truly personalized education at scale. Our platform equips educators with real-time insights and flexible tools, enabling them to focus on what matters most—driving student growth and equity. We’re not just building technology; we’re driving innovation in an industry ready for transformation. At Kiddom, team members sit at the center of this effort, collaborating across engineering, design, research, and education to create experiences that push boundaries and unlock new possibilities for learners and educators alike. If you thrive in ambiguity, love working in high-ownership cultures, and are energized by the intersection of human impact and next-gen technology, this is the place to shape something transformative. About this role: 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!

Requirements

3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering)
Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills.
Strong understanding of data engineering principles including infrastructure deployment, governance and security.
Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases. (Neptune or Neo4J)
Proficiency in SQL, Python, (Golang)
Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda

Responsibilities

Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards.
Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue.
Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications.
Extract and deploy reusable features to Feature stores such as Feast or equivalent.
Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud.
Monitor data systems and troubleshoot issues related to data quality, performance, and integrity.

Benefits

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.