6 часов назад
Data Engineer (AI)
140 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI): Building and scaling production data pipelines and the data platform powering AI marketing analytics, with an accent on reliability, performance, data quality, and modern cloud data tooling. Focus on optimizing Snowflake, ClickHouse, AWS, dbt, and Dagster workflows, supporting MLOps productionization, and responding to critical pipeline issues.
Location: On-site at the Union Square office in New York City, United States
Salary: $140,000–$260,000 base salary per year, plus equity and benefits.
Company
is an AI marketing platform that helps brands understand, measure, and improve their presence in AI-powered search.
What you will do
- Maintain and improve production data pipelines from ingestion through delivery.
- Design new ingestion processes and optimize performance and costs across Snowflake, ClickHouse, AWS, dbt, and Dagster.
- Implement monitoring, alerting, and validation to ensure data quality and reliability.
- Manage infrastructure, orchestration, and CI/CD for data workflows.
- Support MLOps as machine learning models are developed and productionized.
- Collaborate with data scientists, product managers, and engineers to launch new data products and respond to critical pipeline issues.
Requirements
- Proven experience designing, building, and maintaining production data pipelines.
- Strong proficiency in Python and SQL.
- Hands-on experience with dbt, orchestration frameworks such as Dagster, Airflow, or Prefect, and AWS.
- Familiarity with Snowflake, ClickHouse, or other modern data warehouses.
- Experience with or interest in MLOps and production machine learning workflows.
- Strong ownership, problem-solving skills, and accountability for data quality and reliability.
Nice to have
- Interest in AI data based on real human interactions with large language models.
- Interest in problems at the intersection of AI and marketing.
Culture & Benefits
- Fast-moving environment with autonomy, trust, and room to grow.
- Opportunity to own and shape the data platform at an early-stage company.
- Competitive compensation with meaningful equity.
- Full range of benefits and perks.
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