Staff Data Engineer

🕒 October 30

🌐 United States, United Kingdom – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 16 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Hard Rock Digital

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2020

🎲 Gambling

🎮 Gaming

💰 $85M GROWTH EQUITY NON VC on 2023-03

Gambling • Gaming

Hard Rock Digital is the interactive gaming and sports-betting arm of Hard Rock International and the Seminole Tribe of Florida. It builds and operates the Hard Rock Bet sportsbook and online casino (available on mobile app and desktop) and Hard Rock Games social gaming apps, delivering sports betting, online casino (slots, table games, live casino) and casual/social gaming experiences tied to the Hard Rock entertainment brand. Hard Rock Digital serves as the exclusive vehicle for Hard Rock International and Seminole Gaming for interactive gaming and sports betting on a global basis.

📋 Description

• Join the reporting team building data automation applications for accurate and timely reports • Produce and maintain critical data deliverables and pipelines • Drive technical innovation as a strong technical contributor • Contribute quality code • Own the quality, scope, and timeliness of deliverables • Apply data technologies to automate business processes • Potentially contribute across real-money gaming operations, including customer service and data science applications • Consider downstream consumers and customers when designing solutions

🎯 Requirements

• Degree in computer science, a related field, or equivalent work experience (8+ years) • Strong communication and collaboration skills (both written and verbal) • Experience using AI to enhance the full data life cycle • Proven track record at using technology to automate data processes • Strong SQL skills, including Jinja templating / DBT • Experience with Snowflake and Airflow (Astronomer) • Experience in environment using dbt and Snowflake • Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn) • Experience manipulating, processing and extracting value from large, disconnected datasets (Spark) • Understanding of AWS Cloud technologies and how to create scalable applications • Exposure to AWS Serverless and serverless-supported languages • SQL and/or NoSQL experience (e.g., MySQL, Cassandra, DynamoDB, Snowflake) • Exposure to streaming technologies (Amazon Kinesis, Kafka) • Exposure to message queues (SQS, RabbitMQ, ActiveMQ) • Comfort working within an agile development cycle • Exposure to Linux development • Experience with Git and versioning software • Exposure to build systems (Maven, SBT, Gradle, etc.) and common build patterns • Experience automating data flows and reporting in a regulated environment is a plus

🏖️ Benefits

• Competitive pay and benefits • Flexible vacation allowance • Startup culture backed by a secure, global brand • Diverse and inclusive work environment • Equal opportunities employer

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