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17 часов назад

Data Engineer (Python)

116 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US/Australia +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Python): Building scalable batch and streaming data pipelines and infrastructure that power analytics, machine learning, and business decision-making with an accent on data reliability, quality, and cloud-based platforms. Focus on designing high-volume pipelines, supporting AI and data science use cases, and troubleshooting production data systems.

Location: Hybrid in New York City, United States

Salary: $116,000–$145,000 USD per year

Company

hirify.global is a mobile gaming and sports wagering company operating sportsbook, casino, horse racing, daily fantasy sports, television, and streaming products across the United States, Canada, and other markets.

What you will do

  • Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
  • Develop clean, efficient, and documented solutions using Python, SQL, Spark, and modern data engineering tools.
  • Deliver reliable data infrastructure supporting machine learning, data science, analytics, and AI use cases.
  • Collaborate with analysts, data scientists, product managers, and engineering stakeholders to translate business questions into technical solutions.
  • Monitor pipelines, troubleshoot operational issues, and implement data quality, observability, and testing practices.
  • Document data sources, transformations, and architecture decisions while participating in code reviews and agile planning.

Requirements

  • 3+ years of experience in data engineering, analytics engineering, or software engineering focused on data.
  • Strong SQL skills and proficiency in at least one programming language, such as Python, Java, or Scala.
  • Hands-on experience with Databricks, Airflow, dbt, Spark, Kafka, or similar modern data tools.
  • Understanding of data modeling, data warehousing, and ETL/ELT best practices.
  • Experience with at least one cloud data platform: AWS, GCP, or Azure.
  • Ability to work in a hybrid role based in New York City.

Nice to have

  • Experience supporting business intelligence, analytics, or data science teams.
  • Familiarity with version control, CI/CD, and collaborative development workflows.
  • Exposure to data governance, privacy, or compliance practices.
  • Eagerness to learn new technologies and contribute to team growth.

Culture & Benefits

  • Medical, vision, dental, life, and disability insurance.
  • 401(k) plan with up to a 5% company match.
  • Paid personal time off, sick leave, and 14 company holidays.
  • Annual bonus and long-term incentive opportunities based on performance.
  • Fertility and family planning, mental health, fitness, commuter, and pet insurance benefits.
  • Equal opportunity workplace with reasonable accommodations available during hiring and onboarding.

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