Data Engineer
About Doowii
At Doowii, we’re motivated by a shared mission to help every educator realize the full potential of each student by empowering them to effectively use data and analytics. Our vision is to democratize data analytics for all educators by delivering solutions that radically improve reporting and insight gathering.
Doowii is a data platform for educators which delivers meaningful insights by re-imagining analytics: we're enabling users to get the insights and answers they need from their data.
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!
Responsibilities (You Will)
Own ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery/Motherduck) 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 (GitHub Actions, dbt tests, OpenMetadata, Sentry)
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)
Hands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, Mage.AI, Beam, Spark, Flink, dbt, Iceberg/DuckDB/ClickHouse
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
Additional experience the ideal candidate may have (“nice to have”):
EdTech or SaaS analytics background
Knowledge of LLM evaluation, vector stores, or semantic layers
MotherDuck or DuckDB experience
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
Goal-setting, regular performance reviews, career-focused conversations, and internal trainings
Remote-work eligible
Doowii employees are required to successfully pass a background check upon being hired.
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.
Apply Now
Apply Now
At Doowii, we’re motivated by a shared mission to help every educator realize the full potential of each student by empowering them to effectively use data and analytics. Our vision is to democratize data analytics for all educators by delivering solutions that radically improve reporting and insight gathering.
Doowii is a data platform for educators which delivers meaningful insights by re-imagining analytics: we're enabling users to get the insights and answers they need from their data.
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!
Responsibilities (You Will)
Own ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery/Motherduck) 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 (GitHub Actions, dbt tests, OpenMetadata, Sentry)
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)
Hands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, Mage.AI, Beam, Spark, Flink, dbt, Iceberg/DuckDB/ClickHouse
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
Additional experience the ideal candidate may have (“nice to have”):
EdTech or SaaS analytics background
Knowledge of LLM evaluation, vector stores, or semantic layers
MotherDuck or DuckDB experience
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
Goal-setting, regular performance reviews, career-focused conversations, and internal trainings
Remote-work eligible
Doowii employees are required to successfully pass a background check upon being hired.
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.
Apply Now
Apply Now