Senior Data Engineer
Fanatics Commerce
| Company | Fanatics Commerce |
| Category | Engineering |
| Location | Tampa |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 6 Aug 2026 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.
At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. Software Development & API Services (10%): Design, develop, and maintain software applications, backend services, and RESTful APIs to ensure performance, scalability, and reliability using Python, Django, Flask, SQL-based databases, and version control tools; perform testing, troubleshooting, documentation, and ongoing application support. Analytics & Visualization Solutions (25%): Design, deploy, and maintain analytical and visualization solutions using BI and analytics tools to monitor core metrics, generate operational alerts, and enable self-service analysis; define data requirements, optimize analytical workflows, and translate complex data into clear, actionable insights that support business decision-making. Analytics Platform Enablement & Data Quality Management (15%): Support effective use of BI and analytics platforms through training, guidance, and best practices; implement and oversee data quality, governance, and management processes to ensure consistent, accurate, and reliable enterprise reporting. Data Pipeline Engineering & Data Integration (30%): Design, build, and maintain scalable data pipelines and ETL/ELT workflows using cloud-based data platforms and orchestration tools; integrate structured and unstructured data from internal and external sources; automate workflows, monitoring, recovery, and CI/CD processes; evaluate and implement enhancements to data engineering tools and frameworks. Operational Data Engineering & Analytical Support (20%): Provide production support for data systems, including incident response, on-call support, troubleshooting, performance tuning, and root-cause analysis; conduct ad hoc data investigations to validate data quality, address anomalies, and support business and operational inquiries. Partial telecommuting permitted; on-site at 5332 Avion Park Drive, Tampa, FL 33607 when not telecommuting. Salary: $145,642 - $155,642 per year.
MINIMUM REQUIREMENTS: Bachelor’s Degree or U.S. equivalent in Computer Science, Information Technology, Information Systems, Computer Engineering, or a related field, plus 5 years of professional experience as a Data Engineer, Software Developer, or any occupation, job title or any position involving the development of pipelines, or software applications.
Must also have experience in the following: 5 years of professional experience designing data ingestion, modeling new data sources, and creating Source-to-Target documentation; 5 years of professional experience architecting data pipeline orchestration frameworks or software applications, including scheduling, error handling, notification, and restartability processes; 5 years of professional experience developing, and maintaining software applications and backend services, including implementing RESTful APIs and microservices to support data processing, system integration, and reporting; 3 years of professional experience gather requirements, collaborating with users and cross-functional teams including product managers, QA engineers, refine BI or software development specifications, and deliver scalable technical solutions; 3 years of professional experience performing data profiling, pipeline monitoring, defect resolution, performance tuning