
51 - 200 employees
Founded 2022
🎮 Gaming
🛍️ eCommerce
👥 B2C
Gaming • eCommerce • B2C
ARB Interactive is a dynamic company that powers innovations in consumer technology. Their flagship product, Modo Casino, is a free-to-play gaming platform that offers a wide array of casino games for players seeking excitement anytime, anywhere. The company also boasts a partnership with Publishers Clearing House, providing a platform for casual gaming and sweepstakes prizes, thereby engaging a large user base. ARB Interactive is focused on building a vibrant ecosystem of consumer technology innovations to enhance user experience.
🕒 May 5
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51 - 200 employees
Founded 2022
🎮 Gaming
🛍️ eCommerce
👥 B2C
Gaming • eCommerce • B2C
ARB Interactive is a dynamic company that powers innovations in consumer technology. Their flagship product, Modo Casino, is a free-to-play gaming platform that offers a wide array of casino games for players seeking excitement anytime, anywhere. The company also boasts a partnership with Publishers Clearing House, providing a platform for casual gaming and sweepstakes prizes, thereby engaging a large user base. ARB Interactive is focused on building a vibrant ecosystem of consumer technology innovations to enhance user experience.
• Build and maintain ETL/ELT pipelines that move and transform data reliably across our stack • Model clean, well-documented datasets to support analytics, reporting, and experimentation • Collaborate with data analysts and product teams to improve data quality and accessibility • Contribute to data quality monitoring and alerting to catch issues early • Help instrument new product features and events alongside engineering and product teams • Write readable, tested, well-documented SQL and Python code • Participate in code reviews, give and receive constructive feedback • Learn from senior engineers and contribute ideas to how we build and scale our data infrastructure
• 1–4 years of experience in data engineering, analytics engineering, or a related role • Solid SQL skills and working knowledge of Python • Familiarity with data warehousing concepts and how data flows through a modern stack • Some hands-on experience with tools like dbt, Airflow, Terraform, Snowflake, BigQuery, or Redshift • Experience with data platforms in a cloud environment (AWS, Azure, or GCP) • A curiosity-driven mindset — you ask questions, dig into problems, and enjoy figuring things out • Good communication skills and comfort working cross-functionally • Willingness to take ownership of tasks and follow through
• Health insurance • retirement plans
Apply Now🕒 April 30
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