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10 дней назад

Analytics Engineer (iGaming)

116 000 - 152 250$
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
Analytics Engineer (iGaming): Building and maintaining data models, ingestion pipelines, validation pipelines, and visualizations for sports modeling and business decisions with an accent on real-time data ingestion, database optimization, and data quality. Focus on designing Databricks and SQL workflows, automating data cleaning across large datasets, reducing query execution times, and developing Tableau and RShiny analytics applications.

Location: Hybrid role based in Jersey City, New Jersey, United States

Salary: $116,000–$152,250 per year

Company

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

What you will do

  • Design, build, maintain, and improve data models, datasets, and visualizations for sports modeling and business decision-making.
  • Develop fast, including near-real-time, data ingestion pipelines using SQL databases, Delta Lakes, Python, R, and Databricks.
  • Maintain validation pipelines that identify bad or missing data and adapt them for new databases.
  • Manage data transformation jobs, optimize code, troubleshoot issues, and automate data cleaning across large datasets.
  • Optimize database performance by balancing memory and speed, reducing query execution times, and removing unused metrics.
  • Own the prioritized backlog for Tableau dashboard and RShiny application enhancements.

Requirements

  • 3+ years of experience in an analytics or data engineering role.
  • 2+ years of experience maintaining databases and improving data ingestion pipelines.
  • Deep understanding of relational databases.
  • Proficiency in SQL, Databricks, R or Python, Tableau, AWS S3, and command-line tools.
  • Bachelor’s degree, preferably in mathematics, statistics, economics, or another highly numerate field, or relevant data analysis experience.
  • Strong problem-solving, organization, time management, collaboration, and adaptability in a fast-paced environment.

Nice to have

  • Experience building data pipelines with Python or R and Databricks.
  • Curiosity about AI and emerging technologies.

Culture & Benefits

  • Hybrid work environment with an emphasis on curiosity, learning, and empowered decision-making.
  • Medical, vision, dental, life, and disability insurance.
  • Paid personal time off, sick leave, and 14 company holidays.
  • 401(k) matching of up to 5% and potential annual bonus and long-term incentive compensation.
  • Additional benefits include commuter assistance, pet insurance, fertility and family-planning programs, mental-health support, and fitness benefits.

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