16 часов назад
Senior Data Engineer (AI)
185 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI) (Python/SQL): Building foundational data models, reliable pipelines, and data platforms that power analytics, experimentation, and decision-making with an accent on self-serve analytics, data quality, and governance. Focus on designing scalable analytical workloads, implementing statistical validation and anomaly detection, and improving data reliability across production systems.
Location: Mountain View, California, with a hybrid work arrangement
Salary: $185,000–$230,000 USD per year
Company
develops an AI-powered meeting transcription, summarization, and collaboration platform that turns conversations into accessible and actionable data.
What you will do
- Build and own foundational data models supporting self-serve analytics and key business metrics.
- Design, operate, and scale reliable data pipelines and data platforms.
- Partner with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams to create trusted data products.
- Influence data collection and logging standards across production systems.
- Establish best practices for data modeling, quality, and governance.
- Implement data quality checks, statistical validation, and anomaly detection while providing technical leadership.
Requirements
- 5+ years of experience in data engineering.
- Bachelor’s degree in Computer Science or equivalent experience.
- Strong programming skills in Python and SQL.
- Expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
- Experience building and maintaining ETL/ELT pipelines and using workflow orchestration tools such as Airflow or dbt.
- Experience with data modeling, analytical workloads, and cloud platforms, preferably AWS.
Nice to have
- Experience working in fast-paced technology, AI, or SaaS environments.
Culture & Benefits
- High-ownership role with direct impact on how data is collected, modeled, and used across the business.
- Cross-functional collaboration with business and engineering stakeholders.
- Inclusive and accessible workplace with reasonable accommodations available throughout the hiring process.
- Comprehensive total rewards package in addition to base salary.
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