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6 дней назад

Senior Data Engineer - Data Platform

225 000 - 250 000$
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

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TL;DR
Senior Data Engineer - Data Platform (Data Infrastructure/Financial Data): Building scalable data infrastructure, batch and streaming pipelines, and cross-functional data models for financial and transactional data with an accent on data quality, reliability, and governance. Focus on designing ingestion systems for payment processors and banking partners, optimizing OLAP/OLTP data models, and operating orchestration and transformation frameworks.

Location: New York, New York, United States. Hybrid schedule with telecommuting permitted up to 2 days per week; office attendance is required at 175 Greenwich Street, Floor 59, New York, NY 10007, on other days.

Salary: $225,000–$250,000 gross annual base pay, plus equity and benefits.

Company

hirify.global operates a global marketplace for buying and selling tickets to live events.

What you will do

  • Drive architectural decisions and standards for scalable data infrastructure, pipeline frameworks, and data management.
  • Build and deploy cross-functional data models and large-scale batch and streaming processing workflows.
  • Design, build, and maintain ingestion pipelines for financial and transactional data from payment processors, banking partners, and external APIs.
  • Ensure data quality, reliability, security, governance, monitoring, and alerting across data systems.
  • Analyze large datasets, troubleshoot anomalies, and generate actionable insights.
  • Manage technical initiatives, collaborate with non-technical stakeholders, and mentor team members.

Requirements

  • Bachelor’s degree or U.S. equivalent in Mathematics, Quantitative Economics, Statistics, Computer Science, or a related field.
  • At least 6 years of professional experience integrating, processing, and reconciling transactional data as a Data Scientist, Data Engineer, or in a related role.
  • 6 years of experience developing scalable data pipelines with quality assurance, monitoring, and alerting mechanisms.
  • 5 years of advanced SQL experience across OLAP and OLTP databases, including complex queries and data models.
  • 4 years of experience with Python, modern data stack technologies, cloud data platforms including Snowflake, orchestration tools including Airflow, and transformation frameworks including dbt.
  • Experience operating large-scale batch and streaming systems, plus at least 1 year working with ERP systems including NetSuite and Oracle ERP.

Culture & Benefits

  • Hybrid work arrangement with up to 2 telecommuting days per week.
  • Equity compensation and a 401(k) plan.
  • Paid time off and paid parental leave.
  • Comprehensive health benefits.
  • Environment focused on innovation, accountability, and engineering excellence.

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