Senior Data Engineer Jobs

Kiddom

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

150000.00 - 220000.00 USD / Year

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Job Description:

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. 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.

Job Responsibility:

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
Work closely with other departments, including Product, Engineering, and Analytics, to understand and cater to their data needs
Define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing

Requirements:

3+ years of experience as a data engineer
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
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Strong understanding of PII compliance and best practices in data handling and storage
Strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy

What we offer:

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

Additional Information:

Job Posted:
December 09, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer