16 часов назад
Data Engineer (AI)
150 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (Python/Airflow/dbt): Building and owning production data pipelines, warehouse models, and governed semantic layers that support reporting, operations, internal tools, and AI initiatives with an accent on API ingestion, workflow orchestration, and data quality. Focus on designing resilient incremental syncs, diagnosing production data incidents, and creating monitoring, reconciliation, and recovery patterns for business-critical systems.
Location: Remote
Salary: $150,000–$170,000 base salary per year plus bonus
Company
develops convenient, whole-food nutrition gummies made from 60 nutrient-dense ingredients.
What you will do
- Design, build, and own custom data pipelines from source systems into the data warehouse, including integrations with poorly documented APIs.
- Build and operate Airflow DAGs for scheduled and event-triggered workflows.
- Develop dbt models and a governed semantic layer for analysts, internal tools, and AI agents.
- Create reusable patterns for incremental synchronization, retries, replay, backfills, and event processing.
- Implement monitoring, data-quality checks, reconciliation, logging, alerting, CI/CD, and operational runbooks.
- Partner with Finance, Operations, Growth, and Technology to turn ambiguous business needs into durable data products and resolve production incidents.
Requirements
- 3+ years of experience in data engineering, analytics engineering, or a closely related engineering role.
- Production-quality Python and advanced SQL skills with a focus on maintainable, well-tested code.
- Hands-on experience designing, building, and operating Airflow workflows and custom data pipelines.
- Strong dbt and dimensional modeling fundamentals, including facts, dimensions, incremental models, tests, documentation, and schema evolution.
- Deep experience with API ingestion, including authentication, pagination, rate limits, incremental synchronization, retries, and historical backfills.
- Fluent use of AI coding agents for implementation, testing, debugging, refactoring, and review, with accountability for architecture and correctness.
Nice to have
- Experience with BigQuery, GCP, and Cloud Composer.
- Experience in a high-growth DTC or subscription business.
- Broad, hands-on experience across the data stack.
Culture & Benefits
- Fully remote, high-trust work environment with biannual off-sites.
- Strong benefits coverage for employees and families.
- Generous paid time off and wellness-focused benefits.
- Free products and additional health and well-being perks.
- Culture centered on ownership, high standards, urgent impact, independent execution, and thoughtful use of AI.
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