Data engineer

The Role

We’re looking for a Data Engineer to join our Engineering team and help architect, build, and scale the data infrastructure that powers our product. If you're excited about building from the ground up and shaping how education evolves through data, we’d love to meet you! We’re open to adjusting the role level based on your experience and expertise.

Responsibilities (You Will)

• Own ingestion pipelines end-to-end
• Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics
• Build robust CI/CD, testing, and observability for data flows
• Optimize storage + query performance; keep infra costs lean
• Partner with ML, product, and frontend engineers to ship AI-driven features (LLM text-to-SQL, embeddings, feature stores, LLM-driven data modeling)
• Champion data quality, governance, RBAC/RLS, and privacy best practices (FERPA, GDPR)

Requirements (You Have)

• 3+ yrs building production data pipelines on GCP, AWS, or Azure (GCP preferred)
• Strong SQL + Python; Java a plus
• Experience with schema evolution, CDC, and high-throughput streaming
• Familiarity with IaC (Terraform) and container orchestration (K8s or Cloud Run)
• Bias for automation, clear documentation, and fast iteration in a startup environment

Bonus points if you have:

• EdTech or SaaS analytics background
• Knowledge of LLM evaluation, vector stores, or semantic layers

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.