Senior Data Engineer

What Will You Do?

• Build and own ETL data pipelines that will power all our reporting & analytics needs
• Develop clean, safe, testable and cost-efficient solutions
• Build fast and reliable pipelines with underlying data model that can scale according to business needs and growth
• Understand the system you are building, foresee possible shortcomings and be able to resolve or compromise appropriately
• Mentor Junior engineers in data Quality/pipelines etc.

 Company Overview
Fanatics is building the leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Leveraging these long-standing partnerships, a database of more than 80 million global consumers and a trusted, beyond recognizable brand name, Fanatics is expanding its position as the global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Fanatics Collectibles, a transformative company that is building a new model for the hobby and giving collectors an end-to-end collectibles experience; and Fanatics Betting & Gaming, a mobile betting, gaming and retail Sportsbook platform. all major Fanatics’ partners include professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 8,000 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.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

Job Requirements

• Must have 5+ years of experience in Data Engineering field, with a proven track record of exposure in Big Data technologies such as Hadoop, Amazon EMR, Hive, Spark.
• Expertise in SQL technologies and at least one major Data Warehouse technology (Snowflake, RedShift, BigQuery etc.).
• Must have experience in building data platform – designing and building data model, integrate data from many sources, build ETL and data-flow pipelines, and support all parts of the data platform.
• Programming proficiency in Python and Scala, with experience writing modular, reusable, and testable code, including robust error handling and logging in data engineering applications.
• Hands-on experience with AWS cloud services, particularly in areas such as S3, Lambda, Glue, EC2, RDS, and IAM.
• Experience with orchestration tools such as Apache Airflow, for scheduling, monitoring, and managing data pipelines in a production environment.
• Familiarity with CI/CD practices, automated deployment pipelines, and version control systems (e.g., Git, GitHub/GitLab), ensuring reliable and repeatable data engineering workflows.
• Data Analysis skill – can make arguments with data and proper visualization.
• Energetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverable.
• Must have experience in developing application with high performance and low latency.
• Ability to take ownership of initiatives and drive them independently from conception to delivery, including post-deployment monitoring and support.
• Strong communication and interpersonal skills with the ability to build relationships with stakeholders, understand business requirements, and translate them into technical solutions.
• Comfortable working cross-functionally in a multi-team environment, collaborating with data analysts, product managers, and engineering teams to deliver end-to-end data solutions.

 Job Description
We are seeking a Sr. Data Engineer who has strong design, developments skills and upkeeps scalability, availability and excellence when building the next generation of our data pipelines and platform. You are an expert in various data processing technologies and data stores, appreciate the value of clear communication and collaboration, and devote to continual capacity planning and performance fine-tuning for emerging business growth.
As the Senior Data Engineer, you will be mentoring Junior engineers in the team. Good to have:

• Experience in Web Services, API integration, Data exchanges with third parties is preferred.
• Experience in Snowflake is a big plus.
• Experience in NoSQL technologies (MongoDB, FoundationDB, Redis) is a plus.
• We would appreciate candidates who can demonstrate business-side functional understanding and effectively communicate the business context alongside their technical expertise.