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16 часов назад

Data Engineer

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

Текст:
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TL;DR
Data Engineer (Python/SQL/Spark): Building and maintaining scalable batch and streaming data pipelines that power analytics, machine learning, AI, and business decision-making with an accent on data reliability, quality, and cloud-based platforms. Focus on designing data infrastructure, troubleshooting pipeline issues, implementing observability and testing, and translating business questions into actionable engineering solutions.

Location: New York City, hybrid

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

Company

hirify.global Group is a mobile gaming and sports betting company operating sportsbook, casino, horse racing, daily fantasy sports, and media products across the United States and Canada.

What you will do

  • Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
  • Develop clean, efficient, and documented code using Python, SQL, and Spark.
  • Deliver data solutions supporting machine learning, data science, analytics, and AI use cases.
  • Collaborate with data analysts, data scientists, and product managers to translate business questions into engineering tasks.
  • Monitor pipelines, troubleshoot issues, and implement data quality checks, 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 modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
  • Understanding of data modeling, data warehousing, and ETL/ELT best practices.
  • Experience with cloud-based data platforms including AWS, GCP, or Azure.
  • Ability to work in a hybrid role based in New York City.

Nice to have

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

Culture & Benefits

  • Health plans including fertility and family planning, mental health support, and fitness benefits.
  • Paid time off, sick leave, and 14 paid company holidays.
  • Annual bonus and long-term incentive opportunities based on performance.
  • 401(k) plan with up to a 5% company match.
  • Commuter benefits, pet insurance, and other employee benefits.
  • Equal employment opportunity and reasonable workplace accommodations.

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