Jobs at Penn Interactive

Build and optimize data transformation pipelines using SQL, dbt, Airflow, Python, BigQuery, and relational databases. Collaborate with stakeholders and data engineers, manage task scheduling, resolve data issues, perform analyses, present recommendations, support data exploration tool adoption, and mentor team members. The role also contributes to hiring, onboarding, and professional development while ensuring data accuracy and insight quality.

Build and validate transformed data, develop dbt models, manage Airflow scheduling, and support data pipelines. Analyze data and present recommendations to stakeholders, ensure insight accuracy, implement data exploration tools, and mentor team members. The role requires collaboration across business and engineering teams, strong SQL expertise, and experience with BigQuery, dbt, Airflow, Python, and relational databases.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering, data, security, product teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, vendor relationships, discovery and intake processes, delivery alignment, and performance metrics. Evaluate AI-supported process improvements, ensure compliance and operational readiness, and deliver measurable gains in efficiency, quality, cycle time, and stakeholder satisfaction.

Supports media campaign execution, delivery, quality assurance, monitoring, troubleshooting, and performance reporting across digital, social, programmatic, and traditional channels. Ensures accurate delivery of sports scores, statistics, odds, news, listings, and results. Provides user support, monitors application alerts, conducts QA for new leagues and features, performs data entry, and escalates urgent issues. Requires evening, weekend, and holiday availability.

Supports 24/7 risk and trading operations for online sports betting platforms. Responsibilities include assisting traders, configuring sports and competition setups, testing and monitoring app functionality, conducting compliance checks, reviewing betting content, monitoring pre-game and in-play markets, communicating with data providers, and helping resolve customer experience issues. Requires strong sports knowledge, computer proficiency, clear communication, and availability for evenings, weekends, and holidays.

Supports 24/7 sports betting operations by assisting traders, monitoring pre-game and in-play markets, reviewing betting content, testing app functionality, managing sport and competition setups, conducting compliance checks, communicating with data providers, and escalating operational issues. The role also supports customer issue resolution and cross-functional assignments with Compliance, Marketing, and Product. Evening, weekend, and holiday availability is required.

Leads the Growth Platforms organization, defining strategy and roadmaps for promotions, loyalty, CRM, customer segmentation, and marketing data products. Builds unified promotional and customer data platforms supporting personalized experiences across online gaming, sports betting, retail, and loyalty channels. Partners with Marketing, Engineering, Data, and Analytics on architecture, experimentation, measurement, and activation. Manages and develops Product Managers while aligning senior stakeholders and driving customer growth, engagement, and retention.

Lead the Growth Platforms organization, owning product strategy and roadmaps for promotions, loyalty, CRM, customer segmentation, personalization, and marketing data. Build unified promotional and customer data platforms across online gaming, sports betting, digital retail, and loyalty experiences. Partner with Marketing, Engineering, Data, and Analytics to enable targeting, experimentation, measurement, and lifecycle marketing. Lead and develop Product Managers while aligning senior stakeholders across the business.

Design, scale, and operate high-performance software systems powering sportsbook, casino, financial ledger, regulatory, and risk-management functions. Responsibilities include developing GraphQL APIs and gRPC services, optimizing databases and production performance, building integrations and migrations, monitoring services, mentoring engineers, and leading complex technical initiatives. The role requires strong distributed-systems, database, containerization, testing, asynchronous processing, and production operations experience.

Design, scale, and optimize APIs, services, databases, and critical wagering, financial ledger, and regulatory systems. Lead complex technical initiatives, improve production performance and resilience, build integrations and migrations, manage monitoring, and mentor engineers. The role requires ownership of end-to-end delivery, on-call operations, scalable distributed systems, GraphQL, relational databases, Kubernetes, asynchronous processing, and highly accurate, auditable financial systems.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, quality frameworks, governance, observability, and self-service analytics practices. Partners with stakeholders, leads technical reviews, mentors engineers, supports hiring, oversees analyses, and participates in incident response and continuous improvement.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

Leads PENN Interactive’s VIP and Player Development organization across the US and Canada. Owns VIP strategy, customer lifecycle management, retention, revenue growth, compliance, KPI performance, and high-value player relationships. Builds leadership capacity, coaches regional directors and hosts, analyzes customer and business trends, and collaborates with Product, CRM, Analytics, Finance, Compliance, and Operations teams to achieve sustainable VIP performance.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.

Design, scale, and performance-tune GraphQL APIs, gRPC services, and SQL queries for a promotions engine. Deliver end-to-end features, own complex technical problems, troubleshoot production performance, set up DataDog monitoring, participate in on-call rotations, and mentor teammates across the codebase.

Design, build, and optimize GraphQL APIs, gRPC services and SQL queries for a promotions engine. Own complex technical problems, improve production scalability and performance, set up DataDog monitoring, participate in on-call rotations, mentor engineers, and deliver end-to-end features in an agile environment.

Design, build, and scale GraphQL and gRPC APIs and SQL queries powering the sportsbook marketplace. Own end-to-end feature delivery, performance diagnostics and remediation, release and deployment windows, monitoring in DataDog, and on-call rotations. Mentor peers, draft technical proposals/specs, and improve platform scalability through load testing, tracing, and production hygiene.

Design, build, scale, and optimize backend services powering the sportsbook marketplace. Own GraphQL APIs, gRPC endpoints, SQL performance, monitoring, on-call and release duties. Identify production bottlenecks, drive scalability improvements, mentor engineers, review cross-team changes, and deliver end-to-end features in an agile environment.