Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.
About Doowii
About the Role
What You'll Work On
Frontend & UX
Backend Systems
Data Interaction Layer
Requirements
Bonus points if you have:
Compensation
Doowii is building a conversational analytics platform for education. We enable non-technical users to query complex datasets using natural language, accelerating decision making, data exploration, and intervention planning. Doowii sits at the intersection of data infrastructure, AI, and education.
This role is focused on building the core product experience for Doowii users. You’ll be tackling opportunities and projects core to the Doowii interface and backend:
- users asking questions
- model evaluation and improvement to improve responses to those questions
- systems configuration and optimization to support our responses
- data structure and analysis so answers are returned accurately and quickly
Doowii engineering is critical in the end-to-end development of the Doowii platform, applications, and systems, from designing the user interface to managing our systems and infrastructure.
- Build interfaces for querying and exploring data
- Translate complex workflows into simple user experiences
- Design and implement user interfaces (UI) and user experiences (UX)
- Partner with ML, product, and frontend engineers to ship AI-driven features (LLM text-to-SQL, embeddings, feature stores, LLM-driven data modeling)
- Develop APIs that power real-time data interactions
- Ensure performance and scalability of user-facing systems
- Configure and manage Doowii’s cloud platforms (AWS, GCP)
- Optimize how queries are executed and results returned
- Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics
- Optimize storage + query performance; keep infra costs lean
- Develop and maintain ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery) end-to-end
- BS in computer engineering (or similar field with 6+ years of experience)
- 3+ years of full-stack experience
- Strong frontend skills (JavaScript/TypeScript, modern frameworks)
- Backend experience (Python preferred)
- Experience with APIs and SQL
- Experience with schema evolution, CDC, and high-throughput streaming
- Bias for automation, clear documentation, and fast iteration in a startup environment
- Masters in computer engineering
- Experience with AI model/agent development and LLM evaluation
- Experience building data-heavy or analytics products
- Strong product intuition and UX thinking
- Experience with performance optimization
- Hands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, Mage.AI, Beam, Spark, Flink, dbt, Iceberg/ClickHouse
The base pay range for this role is $130,000 – $165,000 per year.
We’re open to adjusting the role level based on your experience and expertise. If you do not fulfill all requirements in the job description, we encourage you to submit your application nonetheless. Doowii employees are required to successfully pass a background check upon being hired.
Why work at Doowii
- Competitive compensation
- New-hire equity grant
- Open PTO policy & company holidays
- Medical, dental, and vision benefits for you and your family
- A mission-driven culture and community
- Remote-work environment
Equal Opportunity
Doowii is an Equal Opportunity Employer and values diversity in our workforce. We believe that a diverse and inclusive workplace fosters innovation, creativity, and collaboration. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
To help protect the integrity of our remote hiring process and safeguard access to student and school data, candidates may be asked to complete a brief live identity verification step prior to technical interviews.
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