Data Engineer

Job Description

Company Overview Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives. We are a startup building products to transform the trading card industry. However, we aren’t a startup in the traditional sense, though. While we are a small team building new products from the ground up, we also have the backing of Fanatics – the world’s largest sports merchandiser with over 900 sports relationships and more than 90+ million reachable fans. We have exclusive licensing deals with the MLB, NFL and NBA and the products we build will be used by millions of trading cards fans from day 1. We are out to reinvent the trading card industry, which is a bold and ambitious mission. We have big plans in this space and there’s a ton to do - trading card data is multifaceted and pricing is largely driven by secondary market activities that are challenging to coalesce and get insights from. We want to transform the way decisions are made in our organization and across the industry, and data is one of the pillars that will enable us to do that. Are you interested in trading cards and sports? Have you ever wondered what is it like to combine your passion for modern data technology & science and trading cards to revolutionize the trading cards industry? Fanatics Collectible’s Data Engineering, Science, and Analytics Team is hiring experienced data engineers. You will be among the the founding members of our team. You will help build a world-class data engineering organization with a strong data and software engineering culture. You will also establish, advocate, and execute data strategy and technical capabilities that support the business and enable data-driven decisions. Ideally, you are passionate the trading card industry, sports, and importantly, data and technology. Our data engineers are required to partner very closely with other engineering and business teams and understand our business needs. You will own high impact technical decisions and lead hiring efforts to help build out a world class data engineering team.

Qualifications:

• A computer science or computer engineering degree with 2+ years of experience as a data engineer or software engineer focusing on building data infrastructure.
• Strong computer science fundamentals and data/software engineering hygiene is a must.
• Experience in developing and deploying a components of an end-to-end data infrastructure leveraging cloud technologies that ingests data from a range of data sources.
• Experience in data modeling for relational databases and one of the following data technologies: document, columnar, graph, and key-value data stores.
• Proficiency in SQL, Python, and Java.
• Familiar with SQL and NoSQL database technologies.
• Familiar with modern cloud native data tech stacks
• Excellent communication skills.
• Experience with the following technologies is a plus:
• Streaming data technologies, such as Kafka or Amazon Kinesis
• CI/CD pipelines with cloud native tools
• Container tech such as Docker and Kubernetes
• Data and ML orchestration tools
• JavaScript

Key Responsibilities include, but not limited to,

• Working under the direction of senior-level data engineers, research, develop, deploy, monitor, and maintain an efficient, reliable, and secure cloud data infrastructure to enable data-driven decisions.
• Help integrate 3rd-party vendor data solutions.
• Collaborate with internal and external tech teams and stakeholders/business partners.
• Participate in on-call technical support.
• Continuously learn data engineering tools and techniques and adopt best practices.
• Follow the high standard for data/software engineering excellence set by the senior-level members of the team.
• Develop a strong understanding of Fanatics Collectibles and the trading cards industry.
• Help in the data engineering and science team recruitment process.

What does this mean as a member of the data engineering team?

• We are fans-and-collectors-obsessed and product-focused. We work backward from the focus of fans and collectors to drive our technical work and the development of products (physical and digital) that will reach tens of million.
• We are agile and move at warp speed. We work hard and are not afraid to try, experiment, and pivot (as needed). We have a lot to do and are looking for folks who will drive projects to completion with a sense of urgency, but not at the expense of quality, scalability, and performance.
• We think about scale. The trading card market is massive, and we will be the de facto entry point into the hobby.
• We’re pragmatic. We embrace new technologies if they add business value.
• We are passionate about trading cards, sports, and data. We take data seriously and work tirelessly to ensure their highest possible quality. We build data infrastructure to enable the seamless flow data from source to impactful actions.[1]

Some indicators that this role may be a good fit for you:

• You feel comfortable speaking up and asking driving questions to get clarity on discussions with both technical and non-technical team members.
• You are looking for high impact opportunities with lots of ownership - very little is defined here - you’ll need to work with stakeholders and a Product Manager counterpart to define objectives, drive technical direction to solve problems, breakdown work, and go after high value initiatives that will move the needle for the business.
• You get excited about greenfield architecture and can make big decisions without getting bogged down in “analysis paralysis”.
• You have experience mentoring developers and an interest in people management.

Additional indications that this is the right role for you:

• 8+ years of software engineering experience with at least 2 of those managing people.
• Expertise in end-to-end implementations of modern data stacks.
• Expertise in the current data landscape (trends, patterns, technologies, tools, etc.) and have delivered high impact projects using best practices.
• You have experience leading high performing teams that solve challenging technical problems

• A computer science or computer engineering degree with 2+ years of experience as a data engineer or software engineer focusing on building data infrastructure.
• Strong computer science fundamentals and data/software engineering hygiene is a must.
• Experience in developing and deploying a components of an end-to-end data infrastructure leveraging cloud technologies that ingests data from a range of data sources.
• Experience in data modeling for relational databases and one of the following data technologies: document, columnar, graph, and key-value data stores.
• Proficiency in SQL, Python, and Java.
• Familiar with SQL and NoSQL database technologies.
• Familiar with modern cloud native data tech stacks
• Excellent communication skills.
• Experience with the following technologies is a plus:
• Streaming data technologies, such as Kafka or Amazon Kinesis
• CI/CD pipelines with cloud native tools
• Container tech such as Docker and Kubernetes
• Data and ML orchestration tools
• JavaScript

$110,000 - $170,000 a year The salary range for this position is $110,000- $170,000 which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now. Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices. NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS : In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. For additional information on how we collect and use personal information in connection with your job application, review our Candidate Privacy Policy-CA Apply for this job