Data Engineer

Company Overview
Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase their favorite team apparel and jerseys. Through an innovative, tech-infused approach to making and selling fan gear in today's on-demand culture, Fanatics operates more than 300 online and offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), major media brands (NBC Sports, CBS Sports, FOX Sports) and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea, Manchester City). Fanatics offers the largest collection of timeless and timely merchandise whether shopping online, on your phone, in stores, in stadiums or on-site at the world's biggest sporting events.
About the Team
Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud commerce platform, Elasticsearch engine, and deep data science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 14 currencies. Our motto is “#GSD”—get stuff done—and we do just that. If you want to be at the nexus of sports, commerce, and technology, come be a part of our industry-leading team here at Fanatics Tech.
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.   Duties and Responsibilities•             Create and maintain optimal data pipeline architecture,•             Assemble large, complex data sets that meet functional / non-functional business requirements.•             Supporting Machine Learning initiatives by helping to extract, transform, and serve data for model training and production.•             Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.•             Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.•             Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.•             Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.•             Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.•             Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.•             Work with data and analytics experts to strive for greater functionality in our data systems.  Education and Experience Requirements Qualifications:•             Education: Bachelors or Masters in Computer Science or related field preferred.•             Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.•             Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.•             Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.•             Strong analytic skills related to working with unstructured datasets.•             Build processes supporting data transformation, data structures, metadata, dependency and workload management.•             A successful history of manipulating, processing and extracting value from large disconnected datasets.•             Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.•             Strong project management and organizational skills.•             Experience supporting and working with cross-functional teams in a dynamic environment.•             Experience with big data tools: Hadoop, Spark, Kafka, etc.•             Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.•             Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.•             Experience with stream-processing systems: Storm, Spark-Streaming, etc.•             Experience with object-oriented/object function scripting languages: Python, Golang, Java, C++, Scala, etc.•             Experience with Machine Learning workflows including developing and maintaining infrastructure for training and deploying models.  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.


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 future contract 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.