4 дня назад
Data Engineer (AI)
168 300 - 297 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI): Building and optimizing governed data models, critical pipelines, monitoring systems, and ML-ready datasets for Block’s financial products with an accent on data architecture, quality, lineage, and AI-assisted automation. Focus on designing end-to-end data engineering solutions, building AI agents for pipeline reliability and false-positive reduction, and supporting experimentation and data-driven decisions at scale.
Location: Remote, Bay Area, California, United States
Salary: $168,300–$297,000 USD annually, depending on location zone, skills, experience, and qualifications.
Company
builds financial and commerce technology through products including Cash App, Square, Afterpay, TIDAL, Bitkey, and Proto.
What you will do
- Create and optimize data models across event, customer, and process-level datasets using AI-assisted development tools.
- Own critical data pipelines, including customer datasets, money movement pipelines, and infrastructure for experimentation.
- Build monitoring for data quality and lineage, including AI agents that reduce false positives and automate issue resolution.
- Participate in on-call operations, diagnose pipeline issues, resolve business-critical failures, and maintain service-level agreements.
- Translate product and business requirements into automated, end-to-end data solutions.
Requirements
- 10+ years of related experience with a Bachelor’s degree, 8+ years with a Master’s degree, or equivalent experience.
- High proficiency in SQL, Python, and dbt.
- Experience designing medium-to-large data engineering solutions across scoping, design, development, testing, deployment, and documentation.
- Experience with ETL scheduling and dependency management tools such as Airflow or Prefect.
- Experience with schema design, dimensional data modeling, data quality monitoring, and data lineage monitoring.
- Experience using AI and agentic automation to support data-driven decisions.
Nice to have
- Experience with Snowflake, Databricks, GitHub, Omni, or Terraform.
Culture & Benefits
- Remote work within the stated U.S. location scope.
- Medical insurance and flexible time off.
- Retirement savings plans and modern family-planning benefits.
- Inclusive hiring practices and reasonable accommodations throughout the recruitment process.
- AI tools may be used to evaluate applications in accordance with local regulations.
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