4 дня назад
Sr./Staff Data Engineer
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr./Staff Data Engineer (Python/SQL): Building and scaling reliable data infrastructure, distributed pipelines, analytics tools, and machine learning data systems with an accent on data warehousing, stream processing, and data reliability. Focus on designing high-performance ETL/ELT and feature-engineering pipelines, securing data across AWS regions, and providing technical mentorship.
Location: Hybrid role for candidates in the Bay Area, San Mateo, California
Salary: $160,000–$180,000 per year, plus potential stock options
Company
is an AI and video commerce company operating a large-scale video commerce platform for enterprise brands and retailers.
What you will do
- Design, develop, and implement backend and machine learning data infrastructure.
- Build event-based ingestion, stream processing, data warehouse, ETL, feature-engineering, and model-running pipelines.
- Develop analytics tools that support customer acquisition, operational efficiency, business intelligence, and product development.
- Create tools for data analysts and data scientists while keeping data separated and secure across national boundaries, data centers, and AWS regions.
- Improve end-to-end data processing through troubleshooting, performance benchmarking, load balancing, and code reviews.
- Mentor data engineers and provide technical guidance on architecture and engineering practices.
Requirements
- 5+ years of professional experience in data engineering, software engineering, or a closely related field.
- Strong proficiency in Python and SQL, including advanced querying, data transformation, and performance optimization.
- Experience building production ETL/ELT pipelines, distributed data processing systems, and machine learning systems.
- Experience with Snowflake, BigQuery, Iceberg, Apache Spark, Flink, or equivalent technologies.
- Familiarity with Airflow, Dagster, Prefect, AWS or GCP, data modeling, database design, monitoring, and reliability practices.
- Strong problem-solving, communication, collaboration, and technical leadership skills, including mentoring experience.
Culture & Benefits
- Work in a hybrid engineering environment supporting a large-scale video commerce platform.
- Opportunity to influence architecture, establish engineering practices, and grow toward people management.
- Potential stock options in addition to the stated salary range.
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