Data Engineer

Antler; United States; Remote; USD 140,000 - 160,000; Full time

Job summary

Join a leading company committed to empowering educators through data analytics as a Data Engineer. You'll be integral in building the data infrastructure that drives meaningful insights for users. This role offers a competitive compensation package, equity grant, and a mission-driven culture focused on innovation.

Benefits

Competitive compensation

New-hire equity grant

Open PTO policy

Medical, dental, and vision benefits

Goal-setting and internal training

Qualifications

• 3+ years experience building production data pipelines on cloud platforms.
• Familiarity with data orchestration and streaming tools.
• Strong knowledge of SQL and Python; Java experience preferred.

Responsibilities

• Own and optimize ingestion pipelines end-to-end.
• Design data models for real-time and batch analytics.
• Collaborate with ML and engineering teams on data-driven features.

Skills

Data Pipeline Development

SQL

Python

Cloud Data Platforms (GCP, AWS, Azure)

Automation

Tools

Apache NiFi

Kafka

Airflow

Terraform

K8s

Job description

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.

Compensation Range: $140K - $160K