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4 дня назад

Sr./Staff Data Engineer

160 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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