Senior Data Engineer - Hybrid Data Pipelines & Analytics

Fanatics Commerce; Tampa (FL); Hybrid; USD 146,000 - 156,000; Full time

Job summary

Fanatics Commerce is seeking a Data Engineer/Software Developer responsible for designing, building, and maintaining scalable data pipelines, APIs, and analytics solutions. You will work across data ingestion, modeling, and governance to deliver reliable enterprise reporting.

Responsibilities include production support, data quality assurance, and collaboration with cross‑functional teams to translate business needs into technical solutions.

Qualifications

• Bachelor’s Degree in CS, IT, Information Systems, Computer Engineering, or related field plus 5 years of professional experience.
• 5 years designing data ingestion and Source-to-Target documentation
• 5 years architecting data pipeline orchestration frameworks or software applications
• 5 years developing, maintaining software apps with RESTful APIs and microservices
• 3 years gathering requirements with cross-functional teams
• 3 years data profiling, monitoring, performance tuning
• 3 years testing and validation of data pipelines
• 2 years self-service BI training and technical documentation
• 2 years building dashboards and KPIs with analytics tools

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Provide production support including incident response, troubleshooting, and performance tuning.
• Develop and maintain RESTful APIs and microservices to support data processing and reporting.
• Collaborate with product, QA, and data teams to define data requirements and ensure data quality.
• Create technical documentation, API docs, and usage guides to support governance and adoption.

Skills

Data Modeling

RESTful APIs

Python

ETL/ELT

Education

Bachelor’s Degree in Computer Science or related field

Tools

Django

Flask

SQL

Airflow

CI/CD

Job description

Fanatics Commerce is seeking a Data Engineer/Software Developer responsible for designing, building, and maintaining scalable data pipelines, APIs, and analytics solutions. You will work across data ingestion, modeling, and governance to deliver reliable enterprise reporting.

Responsibilities include production support, data quality assurance, and collaboration with cross‑functional teams to translate business needs into technical solutions.