Overview
As Software Engineer III at Fanatics Betting & Gaming (FBG) with a focus on Data Pipelines and service infrastructure, you will play a leadership role in advancing our robust data infrastructure that supports cutting-edge AI and machine learning applications. Your expertise will be pivotal in designing, developing, and managing high-performance data pipelines and service infrastructures that enable sophisticated AI-driven analytics, predictive insights, and real-time operational intelligence. Collaborating closely with data scientists, AI engineers, and cross-functional partners, you'll significantly impact strategic decision-making, operational excellence, and innovative customer solutions.
Responsibilities
Lead the design, development, and optimization of scalable and reliable data pipelines tailored for complex AI and machine learning workflows. Provide technical guidance and mentorship to engineering teams, ensuring best practices in data management, architecture, and performance. Work collaboratively with data scientists and AI engineers to understand complex data requirements and facilitate seamless AI model integration, training, and deployment. Drive the integration and harmonization of diverse data sources from internal and external systems (Salesforce, Slack, Tableau, AWS services) into unified analytics platforms. Maintain exemplary data standards, emphasizing rigorous data modeling, quality assurance, governance, compliance, and security protocols. Develop and enhance advanced monitoring, debugging, and observability systems to ensure robust pipeline performance, system health, and data integrity. Lead architecture discussions and code reviews to maintain high standards of scalability, maintainability, and reliability across AI-focused infrastructures. Create and oversee the implementation of dashboards and comprehensive observability tools (logs, metrics, alerts) that proactively monitor and enhance operational performance. Prototype, develop, and refine advanced, user-friendly UI screens and dashboards, enabling customer success teams to leverage AI-driven insights effectively.Required Qualifications
6 - 10 years of professional experience in data engineering, specifically managing data-intensive infrastructures supporting AI and ML systems. Proven expertise with AWS cloud technologies, notably AWS Bedrock, Redshift, MongoDB, and S3. Advanced proficiency in Python, SQL, and data orchestration frameworks such as Airflow, Prefect, or similar technologies. Extensive experience designing, implementing, and optimizing data models for both relational and non-relational database systems. Deep understanding of REST APIs, microservices architectures, and system integration methodologies. Extensive familiarity with observability practices (logs, metrics, traces) and robust CI/CD pipeline management. Exceptional analytical and problem-solving abilities, adept at navigating ambiguity and driving clear technical direction within diverse teams.Preferred Qualifications
Direct experience with AWS Bedrock or equivalent managed AI and ML services. Significant experience implementing and optimizing real-time streaming technologies (Kafka, Kinesis). Background in advanced AI-driven analytics, predictive troubleshooting, conversational intelligence, and operational analytics. Familiarity with data engineering applications within gaming, sports betting, or other dynamic consumer-facing industries. Enthusiasm for continuous learning and staying ahead of emerging trends in AI, data engineering, and cloud technology best practices. Experience with Salesforce integration and a deep understanding of customer success workflows. Experience developing front-end applications using modern frameworks (React, Angular, Vue) and strong familiarity with UI/UX design principles.Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!