PrizePicks

👥 101-250💰 Corporate about 2 years agoGaming Fantasy Sports Sports💼 Private Company

PrizePicks is a technology-driven company focused on fantasy sports and gaming, offering innovative platforms for sports enthusiasts to engage in player prop betting.

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Jobs at this company:

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🔥 Senior Data Engineer

Posted about 22 hours ago

📍 United States

🧭 Full-Time

💸 145000.0 - 200000.0 USD per year

🔍 Daily Fantasy Sports

🔧 Requirements

5+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Materialize, AlloyDB, etc Replication/ELT services: Data Stream, Hevo, etc. Data Transformation services: Spark, Dataproc, etc Scripting languages: SQL, Python, Go. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc. Data Processing and Messaging Systems: Kafka, Pulsar, Flink Code version control: Git Data pipeline and workflow tools: Argo, Airflow, Cloud Composer. Monitoring and Observability platforms: Prometheus, Grafana, ELK stack, Datadog Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, and Streamlit.

💡 Responsibilities

Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows.
Architect and implement Infrastructure as Code (IaC) solutions to automate and streamline the deployment and management of data infrastructure.
Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions.
Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
Serve as a Data Engineering thought leader within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

LeadershipPostgreSQLPythonSQLApache AirflowBashCloud ComputingETLGCPGitKafkaKubernetesData engineeringData scienceREST APICI/CDRESTful APIsMentoringTerraformData modeling

Posted about 22 hours ago

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🔥 Director of IT & Security

Posted about 22 hours ago

📍 United States

🧭 Full-Time

💸 200000.0 - 250000.0 USD per year

🔍 Sports Gaming

🔧 Requirements

8–12+ years of experience in IT and/or Security roles, with 3+ years in a leadership capacity.
Proven experience managing both IT and Security functions in a high-growth or mid-sized company.
Ability to manage multiple priorities and projects in a fast-paced, dynamic environment.
Demonstrated ability to identify, analyze, and articulate technology and security risks in business terms to non-technical stakeholders and executive leadership.
Strong understanding of modern SaaS environments, device management, identity management (IAM, MDM), GRC, and security frameworks.
Experience with compliance frameworks such as SOC 2, ISO 27001, or HIPAA is a plus.
Collaborative, hands-on leader with strong communication and cross-functional alignment skills.

💡 Responsibilities

Develop and execute the company's IT and Security strategy.
Own the roadmap for corporate IT systems.
Design, implement, and manage robust security operations programs.
Lead and manage internal and external audits.
Develop, maintain, and regularly test comprehensive business continuity and disaster recovery plans.
Proactively identify, analyze, and assess technology and security-related business risks.
Develop and implement risk management frameworks and policies.
Define, track, and report on key performance indicators (KPIs) for the IT and Security teams.
Oversee relationships with key technology vendors.
Stay current with emerging technology trends, security threats, and regulatory changes.
Build, mentor, and lead a high-performing team of IT and Security professionals.

LeadershipCloud ComputingCybersecurityMicrosoft Active DirectoryCI/CDComplianceRisk ManagementTeam managementSaaS

Posted about 22 hours ago

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🔥 Staff Data Engineer

Posted 10 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 230000.0 USD per year

🔍 Daily Fantasy Sports

🔧 Requirements

7+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
Experience in most of the following:
Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
Graduate degree in Computer Science, Mathematics, Informatics, Information Systems or other quantitative field

💡 Responsibilities

Enhance the capabilities of our existing Core Data Platform and develop new integrations with both internal and external APIs within the Data organization.
Develop and maintain advanced data pipelines and transformation logic using Python and Go, ensuring efficient and reliable data processing.
Collaborate with Data Scientists and Data Science Engineers to support the needs of advanced ML development.
Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows Using DBT.
Work closely with DevOps and Infrastructure teams to ensure the maturity and success of the Core Data platform.
Guide teams in implementing and maintaining comprehensive monitoring, alerting, and documentation practices, and coordinate with Engineering teams to ensure continuous feature availability.
Design and implement Infrastructure as Code (IaC) solutions to automate and streamline data infrastructure deployment, ensuring scalable, consistent configurations aligned with data engineering best practices.
Build and maintain CI/CD pipelines to automate the deployment of data solutions, ensuring robust testing, seamless integration, and adherence to best practices in version control, automation, and quality assurance.
Experienced in designing and automating data governance workflows and tool integrations across complex environments, ensuring data integrity and protection throughout the data lifecycle
Serve as a Staff Engineer within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
Mentor and support junior engineers by providing guidance, coaching and educational opportunities
Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

AWSBackend DevelopmentDockerLeadershipPythonSQLApache AirflowCloud ComputingETLGitKafkaKubernetesRabbitmqAlgorithmsApache KafkaData engineeringData StructuresGoPostgresSparkCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingRESTful APIsMentoringLinuxDevOpsTerraformExcellent communication skillsStrong communication skillsData visualizationData modelingScriptingSoftware EngineeringData analyticsData management

Posted 10 days ago

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🔥 Martech Engineer III

Posted 10 days ago

📍 United States

🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 Software Development

🔧 Requirements

2–4 years of engineering experience in a Martech, Solutions Engineering, or fullstack developer role with exposure to digital marketing use cases
Strong JavaScript fundamentals and production experience in at least one modern framework (preferably React or React Native)
Hands-on experience with a backend language — ideally Ruby on Rails — to integrate tracking, handle data routing, or hit 3rd-party APIs
Experience working with one or more Customer Data Platforms (RudderStack, Segment), Tag Managers (GTM, Tealium), or Engagement Tools (Braze, Iterable, OneSignal)
Familiarity with attribution platforms (AppsFlyer, Singular, Adjust, Kochava) and how they tie into ad performance
Genuine curiosity about how growth and marketing work under the hood — and a desire to build the systems that power them
Clear, proactive communication skills — especially when translating between marketers and engineers
A knack for balancing velocity with precision when it comes to data quality, tracking standards, and shipping production code

💡 Responsibilities

Serve as the technical owner of marketing and engagement instrumentation across web, mobile, and backend systems
Architect, implement, and maintain deep linking across platforms — supporting attribution, routing, and user experience
Build and manage scalable integrations with key platforms like RudderStack, Braze, AppsFlyer, and other external partners
Write and deploy custom tags and scripts via Google Tag Manager, including pixel tracking and cookie-based data capture
Implement React and React Native tracking hooks to capture user behavior cleanly and modularly
Contribute backend logic (preferably in Ruby or Python) to support server-side tracking, webhook ingestion, and API integrations
Partner with Growth, Lifecycle, and Product teams to launch campaigns, define KPIs, and ship tracking for high-impact experiments
Collaborate with external agencies and Martech vendors on technical strategy, implementation, and troubleshooting
Define specs with data engineering to ensure marketing data lands cleanly and consistently in the warehouse
Debug and QA data pipelines across the stack — from front-end event to downstream dashboard
Create documentation, templates, and reusable modules to standardize Martech implementation and accelerate future launches

Backend DevelopmentSQLData AnalysisFrontend DevelopmentJavascriptReact NativeRuby on RailsAPI testingData engineeringReactCommunication SkillsAnalytical SkillsRESTful APIsCross-functional collaborationMarketingData managementDebugging

Posted 10 days ago

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🔥 Senior Manager, Paid Social User Acquisition

Posted 22 days ago

📍 U.S.

🧭 Full-Time

🔍 Sports

🔧 Requirements

6+ years of hands-on paid social experience managing performance-focused campaigns at scale
Strong executional chops with Meta & TikTok Ads Manager plus at least 1 other platform (Snap, Reddit, or X)
Experience owning an annual performance budget over 8-figures
Strong understanding of attribution, cohort analysis, incrementality, and LTV modeling — especially in the context of mobile UA
Experience managing platforms based on different campaign optimization goals including CAC and ROAS
Proficiency in campaign analytics and performance reporting (Tableau and AppsFlyer)
Deep experience with Social creative including best practices, creative testing, and effective ad types on a per platform basis.
Highly organized, collaborative, and a self-starter — comfortable operating with autonomy in a fast-moving environment
Experience working cross-functionally with creative, product, and analytics teams
Strong written and verbal communication skills, including the ability to present to senior leadership

💡 Responsibilities

Oversee 9 figure annual media budget, ensuring efficient allocation of resources and alignment with business priorities
Own the day-to-day strategy, execution, and optimization of paid social campaigns across Meta, TikTok, Snap, Reddit, and X.
Implement tracking and measurement systems to evaluate the effectiveness of paid media campaigns
Present reporting to cross functional and VP-level stakeholders synthesizing results into clear next steps
Drive efficient CAC through rigorous testing, audience expansion, channel diversification, and creative iteration
Collaborate with cross-functional teams including Creative, Analytics, CRM, Product, and Engineering
Work closely with our external agency to ensure flawless execution, testing velocity, and budget pacing
Leverage tools like Ads Managers, AppsFlyer, and Tableau to monitor performance and uncover opportunities
Partner with our in-house Creative Strategy lead to execute creative tests with speed and structure
Mentor and manage one direct report while contributing to broader team-wide initiatives

Cross-functional Team LeadershipTableauMarketingDigital MarketingBudget managementA/B testing

Posted 22 days ago

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🔥 Associate Data Scientist - NFL

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 90000.0 - 120000.0 USD per year

🔍 Sports

🔧 Requirements

Advanced knowledge of machine learning, data analysis, and statistical modeling, specifically with respect to professional sports, particularly NFL.
Proficiency in statistics and programming in Python.
Practical experience with relational databases like PostgreSQL.
Minimum 1+ years of experience in a related data science role, ideally within the professional sports industry.
Familiarity with advanced sports statistics and analytics platforms used in professional football.
Experience working with real-time sports data feeds and APIs.
Knowledge of sports betting concepts and daily fantasy sports.

💡 Responsibilities

Build and design machine learning models specific to NFL football
Clean datasets and productionize SQL queries to ensure stable model training pipelines.
Contribute to PrizePicks’ simulation infrastructure to create projections for NFL football games.

PostgreSQLPythonSQLData AnalysisMachine LearningData scienceData visualizationData modeling

Posted 24 days ago

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🔥 Staff Data Science Engineer

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 200000.0 - 270000.0 USD per year

🔍 Sports

🔧 Requirements

7+ years of experience in Backend Engineering/Machine Learning Engineering shipping and maintaining production-grade systems for internal tools and product users.
3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists.
Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale cloud-based data streaming pipelines and infrastructure.
Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services.
Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Scripting languages: SQL, Python, Go, Rust. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine.
Code version control: Git, Code testing libraries: PyTest, PyUnit, etc. Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow, Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models, MLOps tools: DataBricks, MLFlow, Kubeflow, DVC.
Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework, Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack, Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash.

💡 Responsibilities

Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines.
Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.
Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap.
Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly visible and real-time data products to the PrizePicks platform.
Empower teams to build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime.
Act as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike.

Backend DevelopmentDockerPostgreSQLPythonSQLCloud ComputingGCPGitKubernetesMachine LearningMLFlowNumpyPyTorchAirflowData engineeringData scienceFastAPIGoGrafanaPrometheusREST APIRedisPandasRustSparkTensorflowTerraformData visualizationData modelingScripting

Posted 24 days ago

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🔥 Senior Data Science Engineer

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 220000.0 USD per year

🔍 Daily Fantasy Sports

🔧 Requirements

5+ years of experience in Backend Engineering/Machine Learning Engineering, shipping and maintaining production-grade systems for internal tools and product users.
2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists.
Extensive experience exposing real-time predictive model outputs to production-grade systems, leveraging large-scale cloud-based data streaming pipelines and infrastructure.
Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services.
Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable; Scripting languages: SQL, Python, Go, Rust; Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine; Code version control: Git; Code testing libraries: PyTest, PyUnit, etc; Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow; Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models; MLOps tools: DataBricks, MLFlow, Kubeflow, DVC; Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework; Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack; Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager; Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash.
Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field

💡 Responsibilities

Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines.
Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.
Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap.
Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform.
Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime.
Grow as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike.

Backend DevelopmentDockerPythonSQLCloud ComputingGCPGitKubernetesMachine LearningPyTorchAirflowData engineeringData scienceFastAPIGrafanaPrometheusREST APIRedisTensorflowTerraformData visualization

Posted 24 days ago

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🔥 Staff Analytics Engineer

Posted 30 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 230000.0 USD per year

🔍 Daily Fantasy Sports

🔧 Requirements

7+ years of experience in a Data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
Graduate degree in a quantitative field: Computer Science, Mathematics, Statistics, Business Analytics, Engineering) or equivalent experience.
3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
Experience building and optimizing data pipelines for analytics, with a focus on data transformation and modeling.
Experience in integrating data from various sources to support analytical needs, including familiarity with data warehousing principles and ELT processes.
Strong experience in dimensional modeling, data warehousing, and data mart design.
Excellent ability to translate business questions into data requirements and analytical solutions.

💡 Responsibilities

Partner with Data Engineering to build and optimize robust data pipelines that ensure data accessibility and reliability.
Collaborate with Business Intelligence to implement crucial business logic that powers BI dashboards, directly impacting key business decisions and providing broad organizational exposure.
Design and implement complex data transformation logic primarily in SQL with a focus on creating reusable data models that support various analytical needs.
Build and maintain dbt models to ensure data accuracy, consistency, and reliability.
Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements, define key metrics, and deliver actionable insights through data models and reporting solutions.
Define and implement data quality checks and validation processes to ensure the accuracy and reliability of data used for analysis.
Develop comprehensive documentation of data models, data dictionaries, and transformation logic to facilitate data understanding.
Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions.
Ensure that data workflows are thoroughly tested, integrated, and deployed efficiently, following best practices for version control, automation, and quality assurance.
Experience in defining and implementing data governance principles, such as data lineage and data cataloging, to improve data discoverability, usability, and trust for analytical purposes.
Serve as an Analytics Staff Engineer within the broader PrizePicks technology organization by staying current with emerging analytical techniques, data modeling best practices, and analytics engineering trends.
Mentor junior team members and promote a data-driven culture.
On-call rotation support, the on-call is shared across the Analytics and Data Engineering teams.

AWSPostgreSQLPythonSQLApache AirflowETLSnowflakeData engineeringCommunication SkillsAnalytical SkillsCollaborationCI/CDMentoringData visualizationData modelingData analytics

Posted 30 days ago

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