Software Engineer II - Data jobs in United States
cer-icon
Apply on Employer Site
company-logo

Fanatics · 6 hours ago

Software Engineer II - Data

Fanatics is building a leading global digital sports platform, and they are seeking a Software Engineer II focused on Data. This role involves designing, developing, and maintaining data pipelines to support AI-driven insights and predictive analytics.

eSportsManufacturingRetailSporting GoodsSports
badNo H1Bnote

Responsibilities

Design, build, and optimize scalable data pipelines tailored for AI and machine learning workflows, including ingestion, processing, and analytics
Collaborate with data scientists and AI engineers to understand data requirements and support AI model training, validation, and deployment
Integrate data sources from diverse internal and external systems (Salesforce, Slack, Tableau, AWS services) into cohesive analytics platforms
Maintain high-quality data standards through rigorous data modeling, data quality checks, governance practices, security measures, and compliance protocols
Develop and enhance monitoring, testing, debugging, and observability tools to support AI model performance and data pipeline reliability
Participate in code reviews, architectural decisions, and ensure adherence to best practices for scalability, reliability, and maintainability within AI environments
Create dashboards and observability solutions (metrics, alerts, logs) to proactively monitor system health, data integrity, and performance

Qualification

Data engineeringAWS cloud servicesPythonSQLData orchestration toolsData modelingREST APIsMicroservices architecturesCI/CD pipelinesAnalytical skillsProblem-solving skillsCollaborationContinuous learning

Required

3 - 7 years of professional experience in data engineering, with specific experience supporting data-intensive AI and ML environments
Hands-on experience with AWS cloud services, particularly AWS Bedrock, S3, Redshift, and MongoDB
Proficiency in Python, SQL, and familiarity with data orchestration tools like Airflow, Prefect, or similar
Experience in designing and implementing data models for both relational and non-relational databases
Solid understanding of REST APIs, microservices architectures, and system integration practices
Familiarity with observability practices (logs, metrics, traces) and experience with CI/CD pipelines
Strong analytical and problem-solving skills, comfortable navigating ambiguity and collaborating across teams

Preferred

Direct exposure to AWS Bedrock or equivalent AI and ML managed services
Experience with real-time streaming data technologies (Kafka, Kinesis)
Background or strong interest in AI-driven analytics, predictive troubleshooting, conversational intelligence, and operational analytics
Familiarity with applications of data engineering in gaming, sports betting, or other consumer-focused industries
Enthusiasm for continuous learning about AI advancements, data engineering best practices, and cloud technologies
Experience working with Salesforce or other related products or a firm understanding of customer success workflows
Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles

Benefits

Medical
Dental
Vision
401K
Paid time off
GymPass
Pet Insurance
Family Care Benefits

Company

Fanatics

company-logo
Fanatics is a sports merchandise retailer that manufactures fan gear and jerseys across retail channels. It is a sub-organization of Kynetic.

Funding

Current Stage
Late Stage
Total Funding
$4.9B
Key Investors
Clearlake Capital GroupNational Football LeagueAlameda Research
2022-12-06Private Equity· $700M
2022-03-02Private Equity· $1.5B
2022-01-01Series Unknown· $10M

Leadership Team

J
Joseph Bozich
Advisor to Chief Executive Officer
linkedin
leader-logo
Michael Mahan
CEO
Company data provided by crunchbase