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Senior Data Engineer (Web3)

126 000 - 180 000$
Формат работы
remote (только USA)/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 (Web3): Building and operating scalable batch and real-time data infrastructure for analytics, machine learning, reporting, and financial operations with an accent on ETL/ELT pipelines, streaming workloads, data modeling, and observability. Focus on designing reliable data products, resolving complex production and performance issues, and supporting crypto and Web3 data use cases.

Location: New York, New York; Miami, Florida; or remote within the United States. In-person onboarding at one of the company’s office locations is required.

Salary: $126,000–$180,000 annual base salary in New York, excluding discretionary bonus and equity.

Company

hirify.global is a publicly traded crypto and Web3 platform providing secure crypto products and services to individuals and institutions across more than 70 countries.

What you will do

  • Design, build, and maintain batch and real-time data infrastructure and pipelines.
  • Develop scalable ETL/ELT systems using Python, SQL, Spark, Flink, Beam, or equivalent technologies.
  • Build near-real-time data solutions using streaming, CDC, and micro-batch approaches.
  • Partner with data scientists, ML engineers, analysts, product, finance, operations, and engineering teams to define requirements and SLAs.
  • Establish data quality, validation, observability, monitoring, lineage, and alerting frameworks.
  • Investigate production incidents, performance bottlenecks, data integrity issues, and fault-tolerance problems while documenting architectures and operational runbooks.

Requirements

  • 5+ years of experience in data engineering or similar roles.
  • Strong ETL/ELT pipeline design and optimization experience, with deep expertise in Python and SQL.
  • Experience with large-scale data warehouses such as Databricks, BigQuery, or Snowflake.
  • Hands-on experience with data modeling, software engineering fundamentals, and systems thinking.
  • Experience with real-time or streaming systems, including Kafka, Kinesis, Flink, Spark Streaming, or CDC frameworks.
  • Experience with orchestration frameworks such as Airflow and familiarity with governance, metadata, cataloging, lineage, and data quality practices.

Nice to have

  • Experience in crypto, financial services, trading, markets, or exchange systems.
  • Experience with blockchain, crypto, or Web3 data, including on-chain indexing and chain APIs.
  • Experience with infrastructure as code, containerization, CI/CD, and Databricks optimization on AWS.

Culture & Benefits

  • Hybrid work approach at U.S. hub offices with remote work available for employees who do not live near a hub.
  • Competitive starting pay with discretionary annual bonus and new-hire equity grant.
  • Comprehensive health plans and 401(k) with company matching.
  • Paid parental leave and flexible time off.
  • Commitment to diverse teams and equal employment opportunity.

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