Fanatics - Staff Data Engineer - Big Data Technologies

About Us :

Fanatics is building a leading global digital sports platform.

We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet.

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.

Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.

Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Job Description :

Join our dynamic Digital Marketing Data Engineering team at Fanatics, where you'll play a critical role in shaping the big data ecosystem that powers our eCommerce and Digital Marketing platforms.

As a full-time Staff Data Engineer, youll design, build, and optimize scalable data pipelines and architectures, ensuring seamless data flow and effective collection across cross-functional teams. You will also leverage your backend engineering skills to support API integrations and real-time data exchanges.

What We're Looking For :

• BTech / MTech / BS / MS in Computer Science or a related field, or equivalent practical experience.
• 9+ years of software engineering experience, with a strong track record in building data pipelines and big data solutions.
• At least 5 years of hands-on experience in Data Engineering roles.
• Proficiency in Big Data technologies such as :

1. Apache Spark, Apache Iceberg, Amazon Redshift, Athena, EMR

2. Apache Airflow, Apache Kafka

3. AWS services (S3, Lambda)

Bonus Points :

(ref : hirist.tech)