As a Data Engineer, you will design and maintain data infrastructure, build ingestion pipelines, and collaborate with ML and product teams for data-driven features.
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 (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
Bonus points if you have:
- EdTech or SaaS analytics background
- Knowledge of LLM evaluation, vector stores, or semantic layers
- MotherDuck or DuckDB experience
The base pay range for this role is $130,000 – $150,000 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
Top Skills
Airflow
Apache Nifi
AWS
Azure
Beam
Clickhouse
Cloud Run
Dbt
Duckdb
Flink
GCP
Iceberg
Java
K8S
Kafka
Mage.Ai
Pub/Sub
Python
Spark
SQL
Terraform
Doowii Boulder, Colorado, USA Office
Boulder, Colorado, United States
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