Data Engineer at FanDuel | New York City

Join Our Team as a Data Engineer! Are you ready to take your career to the next level? At FanDuel, we are seeking a passionate and skilled Data Engineer to join our dynamic data platform team. In this pivotal role, you will have the opportunity to design, build, and scale robust data infrastructure that drives analytics, machine learning, and critical business decisions across our organization. Your responsibilities will include taking full ownership of the design and delivery of secure, reliable, and cost-effective data platforms. Your work will empower data engineers, analysts, and data scientists to excel in their roles. As a key player in our team, you will collaborate closely with engineering, analytics, and security teams to enhance platform reliability, performance, and the overall developer experience for impactful data workflows at scale. Your strong engineering judgment will guide you in addressing ambiguous technical challenges, making architectural decisions, and contributing to the technical growth of the team. The ideal candidate is a seasoned engineer who thrives in a fast-paced, collaborative environment and is adept at managing complex systems end-to-end. If you are excited about building resilient data platforms and making a significant impact at a forward-thinking company, we want to hear from you!

Join Our Team as a Senior Data Engineer!Are you ready to take your career to the next level? FanDuel is seeking a Senior Data Engineer who will be instrumental in designing and building scalable, reliable, and high-performance data solutions that fuel analytics, machine learning, and business operations. As a hands-on contributor, you will play a significant role in establishing the core technical foundation of our data ecosystem.You will collaborate with a diverse team of engineers, analysts, product managers, and data scientists to create data pipelines and platforms that lead to impactful business results. The ideal candidate possesses excellent problem-solving abilities, is a strong team player, and brings both technical expertise and a collaborative spirit to every challenge.If you're excited about the prospect of working in a dynamic environment and tackling innovative challenges, we want to hear from you!Key Responsibilities:Build & Maintain Data Infrastructure: Design, develop, and maintain scalable ETL/ELT pipelines to support various data products and operational systems. Work with large-scale, complex datasets ensuring data cleanliness, proper modeling, and accessibility across the organization.Deliver High-Quality, Reusable Solutions: Create modular, reusable data models and assets utilizing tools like Spark, dbt, or similar frameworks. Collaborate with stakeholders to transform business needs into reliable, production-ready data solutions while ensuring data quality and consistency.Contribute to Engineering Excellence: Advocate for software engineering best practices, including testing, version control, documentation, and code reviews. Engage in technical design discussions and architecture reviews, helping to evolve our data platform for improved performance and scalability.Collaborate & Communicate: Partner closely with data scientists, analysts, and product managers to ensure alignment and drive solutions that meet business objectives.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.

THE POSITIONJoin our innovative team at FanDuel, where we have an exciting opportunity for you! As a Senior Software Engineer on our Risk Management Automation team, you will play a pivotal role within a dynamic, cross-functional agile team that drives significant business impact. Collaborating closely with your teammates, you will develop and implement high-quality, creative solutions, define project scopes and timelines, and balance the priorities of stakeholders with engineering needs. Your dedication to delivering exceptional software will ensure you take pride and ownership in the testing, deployment, monitoring, and maintenance of the products we create. At FanDuel, our engineers are responsible for every aspect of the software delivery lifecycle. You will engage directly with our risk managers to enhance our major automated risk management platforms, establishing yourself as a domain expert in automated risk implementation and its integration into the broader Risk and Trading ecosystem. Beyond traditional software development, you will be expected to proactively identify opportunities for innovation within the risk automation space, leveraging technology to drive improvements. Additional responsibilities may be assigned as necessary to ensure operational flexibility and to meet the evolving demands of our business. THE GAME PLANEveryone on our team has an essential role to play. As a significant and autonomous contributor, your work will consistently exemplify high quality. You will tackle complex challenges using appropriate technologies and best practices. Collaboratively with your team, you will design and build software that is robust and efficient. You possess proficiency in a variety of design approaches, knowing when to apply them effectively. Your solutions will be pragmatic, considering the long-term impact of the code you produce while ensuring clarity for future developers. You will strive to avoid short-term fixes, creating flexible software without unnecessary complexity. Moreover, you will make judicious trade-offs, promoting reuse where feasible, and being mindful of introducing dependencies. You will also demonstrate efficiency in resource utilization (e.g., system hardware, database, memory/CPU, etc.). We are eager to welcome engineers who are ready to engage in technical discussions, contribute to solution design and implementation, mentor junior engineers through pair programming, and drive continuous improvements across our technology landscape.

JOIN OUR TEAMAre you ready to take your career in cybersecurity to the next level? At FanDuel, we're on the lookout for a skilled Enterprise Security Engineer who is passionate about designing and implementing cutting-edge enterprise security controls. You will play a pivotal role in shaping our security posture while balancing risk management and user experience. Reporting to the Senior Manager of Enterprise Security Engineering, you’ll tackle a variety of security challenges to protect our organization.

THE POSITIONJoin our dynamic Casino Analytics team at FanDuel as a Product Analyst and play a crucial role in shaping our product strategy. You will be instrumental in providing actionable commercial insights that drive our Casino business forward, with a strong emphasis on understanding customer behavior. Collaborate with a talented group of analysts to enhance the tools, models, and data visualizations that support the success of FanDuel Group. This role offers a fantastic opportunity for cross-functional collaboration and influence within the FanDuel Casino's product strategy.As part of your role, you may be asked to perform additional duties as assigned by the company, ensuring we remain agile and responsive to our evolving business needs.

Join Our Team as a Media Associate!FanDuel is excited to announce an opening for a Media Associate within our US Casino Marketing team. In this pivotal role, you will play a vital part in the strategy, execution, optimization, and reporting of our above-the-line media operations, including Linear TV, OTT/CTV, OOH, Direct Mail, and selected direct partnerships.As a member of our dynamic team, you will be expected to adapt to various responsibilities as assigned by the Company, ensuring we remain agile and responsive to our business needs.Your Role & ResponsibilitiesCampaign Management & ExecutionOversee the daily execution, tracking, and optimization of our above-the-line media channels.Collaborate cross-functionally with Brand Marketing, Analytics, and Media Operations to develop and implement successful campaigns.Act as a liaison between internal stakeholders and media agencies, managing daily needs and deliverables.Provide insights and generate reports based on performance metrics, competitive analysis, and budget considerations.Optimization & StrategyContribute to the development of media plans that meet KPIs across various tactics, and identify opportunities for enhancement and optimization.Make strategic recommendations to stakeholders to boost overall campaign performance and inform future planning.Streamline internal processes for media campaign management, enhancing creative strategies and briefs.Budgeting & Financial ManagementAssist with budgeting, invoicing, reconciliations, and partner authorizations.Manage campaign and channel budgets, ensuring accurate pacing and financial forecasts.Collaborate with internal finance and analytics teams for precise spend reporting and budget accountability.Partnership & CollaborationManage relationships with agencies and external partners, exploring new media opportunities to meet FanDuel's business objectives.Thrive in a fast-paced environment, fostering open communication and collaboration with team members.

Join Our Team as a Finance Manager!FanDuel is excited to announce an opening for a Finance Manager dedicated to supporting our Prediction Markets. In this pivotal role, you will serve as the primary finance business partner for various Sports products. We are seeking a candidate who blends exceptional financial expertise with analytical precision and collaborative business partnership skills.This role is instrumental in overseeing the Sports cost base, enhancing forecasting accuracy, and fostering data-driven decision-making across revenue-generating functions. You will report directly to the Finance Director.Your Responsibilities Include:Executing financial reporting, budgeting, and analysis for Prediction Markets, Racing, and Daily Fantasy.Integrating business partnering throughout all workflows, assisting both internal and external stakeholders.Overseeing all aspects of the P&L, including Revenue, Marketing Investment, Cost of Sales, and OPEX for supported products.Leading annual budgets, forecasts, and long-term planning.Providing clear visibility into P&L drivers, performance metrics, investment spend, and operating leverage.Assessing investment decisions and promotional strategies for disciplined spending and significant ROI.Analyzing business results, KPIs, and trends, delivering critical insights to the leadership team.Collaborating with Accounting to ensure thorough expense tracking, accruals, and accurate financial reporting.Responding to ad hoc financial analysis requests.

Role Overview FanDuel is hiring an Inclusion Associate in New York City. This role helps build and maintain an inclusive workplace culture across the company. What You Will Do Work with teams from different backgrounds and departments Support and help carry out programs that advance equity and inclusion

THE POSITIONJoin our innovative team as a Senior Product Security Engineer, where you'll be instrumental in safeguarding AI-driven software solutions. Collaborate closely with engineering teams to pinpoint and mitigate security vulnerabilities across web, mobile, cloud, and AI-integrated systems. You'll also be tasked with designing and implementing intelligent automation tools that streamline security reviews and enhance developer productivity. This role perfectly balances hands-on security engineering and the development of scalable security automation, presenting a unique opportunity to secure cutting-edge AI capabilities while shaping the future of Product Security.THE GAME PLANEvery team member plays a vital role:Join a forward-thinking security engineering team dedicated to creating secure, reliable AI applications and products.Integrate security practices within product development teams to establish secure design frameworks for distributed and AI-enhanced systems.Perform comprehensive security evaluations, including penetration testing, code reviews, threat modeling, and architectural assessments.Provide AI and LLM-specific threat modeling and analyze risks associated with model integrations, data flows, and third-party AI services.Detect recurring security review trends and devise automation solutions to optimize lower-risk scenarios.Construct internal tools and workflows that expedite security evaluations.Create structured, scalable review methodologies that uphold rigor while boosting efficiency.Collaborate with technology leaders to define metrics that reflect security posture and review effectiveness.Work alongside development and operations teams to enhance modern product security standards and frameworks.Document and continuously improve processes related to key systems.Other duties may be assigned as required to meet evolving business needs.

FanDuel Labs seeks a Lead Product Manager based in New York City to shape the direction of new products for sports fans. This position works across teams to turn ideas into real experiences, from initial concept through launch. Key responsibilities Guide cross-functional teams to deliver new products and features Develop product strategies that support FanDuel Labs' objectives Set priorities and manage the product roadmap Oversee launches and monitor product performance Apply data and user insights to refine decisions and improve the user experience Role impact This role directly shapes how sports fans interact with FanDuel Labs' offerings. The Lead Product Manager’s choices influence both the user experience and the company’s progress in sports entertainment.

THE POSITIONJoin our innovative team at FanDuel as a Commercial Strategy Manager, where your expertise will be vital in developing and realizing our commercial strategies. This role is essential for driving our business growth and enhancing our competitive edge. Collaborate with senior leadership to unearth new opportunities, assess market dynamics, and craft actionable strategies that yield measurable outcomes.THE GAME PLANYour contributions will be key to our success:Design and implement robust commercial strategies aimed at achieving our business goals and amplifying revenue growth.Identify and track critical business KPIs to ensure our ecosystem operates seamlessly towards our commercial objectives.Engage with cross-functional teams, including Analytics, Operations, Marketing, Product, and Finance, to ensure cohesive execution of commercial initiatives.Play a pivotal role in the forecasting and goal-setting processes alongside Analytics and Finance, setting expectations across the organization to meet commercial targets.Conduct comprehensive market research and competitive analysis to pinpoint emerging trends, opportunities, and potential risks.Analyze business metrics, customer insights, and performance data to uncover improvement areas and optimize commercial effectiveness.Create and deliver persuasive business cases, strategic plans, and performance reports to senior stakeholders.Continuously monitor and assess the efficacy of our commercial strategies, making data-driven adjustments as necessary.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

Join the dynamic team at the City of New York as a Data Analyst. In this pivotal role, you will leverage data analytics to drive decision-making processes and optimize services for the citizens of New York. Your expertise will contribute to various projects aimed at enhancing operational efficiency and delivering impactful insights.

At Profound, we are dedicated to empowering organizations to effectively navigate and manage their AI presence. We are currently seeking a skilled Data Engineer to lead the development and enhancement of our data platform. In this role, you will be responsible for maintaining and optimizing our data pipelines, crafting innovative data ingestion processes, and addressing the data requirements of our product, data science, and go-to-market teams.This position is an excellent opportunity for individuals who thrive in working with cutting-edge data tools, enhancing system performance and reliability, and laying the groundwork for machine learning-driven functionalities.

THE POSITIONJoin our dynamic team at FanDuel as we seek a talented Product Manager to elevate our Data Products within the Technology division. This pivotal role involves collaborating with diverse teams and stakeholders to advance our Data Science and Machine Learning initiatives. You will spearhead the evolution of our Machine Learning Platform, ensuring capabilities for experiment tracking, model lifecycle management, observability, and feature engineering are optimized for our data scientists to effectively build, deploy, and monitor models at scale. If you're eager to embrace this challenge in a vibrant company, we invite you to apply.In addition to the key responsibilities outlined, team members may be called upon to undertake various duties as assigned, promoting operational agility to meet the dynamic needs of the business.THE GAME PLANYour contributions will be vital:Own data products that yield crucial insights, driving strategic business decisions.Lead the gathering of requirements through user stories and acceptance criteria, prioritizing the product backlog to enhance program execution.Collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders to align our platform with business goals and deliver advanced machine learning solutions.Work hand-in-hand with our Data Science and Machine Learning Data Engineering teams to maximize data value.Introduce innovative ideas to address business challenges, leveraging your commercial insight for creative solutions.Partner with Engineering teams to outline effective solutions and methodologies.Develop and maintain user guides, technical documentation, and best practices for the Machine Learning platform, encompassing tools for experiment tracking, model deployment, feature engineering, and observability.Oversee platform performance, model accuracy, and data quality, proactively identifying and resolving issues to enhance efficiency.Act as a catalyst for sustainable change, guiding the business through its transformation journey.Be a key member of the PM community at FanDuel, sharing best practices and fostering a culture of knowledge exchange and cross-training.

About QlooAt Qloo, we leverage extensive behavioral and catalog data to drive insightful recommendations across various sectors including entertainment, dining, travel, and retail. Our cutting-edge platform is constructed on a robust AWS data architecture, facilitating advanced analytics, APIs, and machine-learning models utilized by prominent brands. We are in search of a skilled Data Engineer to contribute to the enhancement and scaling of this innovative platform.Position SummaryAs a Data Engineer at Qloo, you will be instrumental in designing, constructing, and managing the data pipelines that aggregate information from external vendors, internal systems, and public sources into our S3-based data lake and related services. You will engage with AWS Glue, EMR (Spark), Athena/Hive, and Airflow (MWAA) to ensure that our data is precise, well-structured, and readily accessible for analytics, indexing, and machine-learning initiatives.You should feel confident managing end-to-end data workflows, encompassing ingestion, transformation, quality assurance, monitoring, and performance optimization.Key Responsibilities- Design, develop, and maintain batch data pipelines utilizing Python, Spark (EMR), and AWS Glue, transferring data from S3, RDS, and external sources into Hive/Athena tables.- Structure datasets in our S3/Hive data lake to facilitate analytics (Hex), API functionalities, Elasticsearch indexing, and machine learning models.- Create and manage workflows in Airflow (MWAA), handling dependency management, scheduling, retries, and alert notifications via Slack.- Establish robust data quality and validation mechanisms (schema validation, freshness/volume checks, anomaly detection) to ensure prompt issue identification through monitoring and alerts.- Enhance job performance for cost and efficiency (partitioning, file formats, join strategies, appropriate utilization of EMR/Glue resources).- Collaborate closely with data scientists, ML engineers, and application developers to comprehend data needs and design schemas and pipelines that address diverse use cases.- Contribute to internal tools and shared libraries to streamline, secure, and standardize interactions with our data platform.- Document pipelines, datasets, and best practices to ensure clear understanding and accessibility for the wider team.Required Qualifications- Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent hands-on experience.- Proficient in Python and distributed data processing using Spark (PySpark) in EMR or a comparable environment.- Practical experience with key AWS data services, particularly: - S3 (data lake, partitioning, lifecycle management) - AWS Glue (jobs, crawlers, catalogs) - EMR or other managed Spark environments.

The City of New York seeks a PASSPort Data Analyst to support public service improvements through careful data analysis. This position centers on gathering, interpreting, and presenting data that informs city operations. Role overview The PASSPort Data Analyst examines complex datasets related to city services. The work involves identifying trends, generating reports, and helping teams understand how data can guide better decisions for New York City’s public programs. Community impact Analysis from this role directly influences decisions that affect residents and city operations. Projects handled by the PASSPort Data Analyst contribute to more efficient, effective services for New Yorkers.

At Endex, we are at the forefront of transforming financial services by integrating advanced AI technologies. Our goal is to develop the most sophisticated digital coworker for financial institutions, enabling teams of AI analysts to work seamlessly alongside expert analysts. We are seeking innovative minds to join us in this mission, collaborating closely with leading research labs.As a Data Engineer, you will play a critical role in establishing the data infrastructure that empowers our autonomous financial analysts. Your responsibilities will include designing and maintaining data pipelines that convert raw financial data into valuable insights for investment firms. You could be an ideal candidate if you...have experience building resilient data infrastructure capable of managing complex, time-sensitive data.are skilled in designing ETL pipelines and data models that facilitate intensive analytical workflows.value data integrity, testing, and monitoring highly.are passionate about the intersection of finance and data.Join us in revolutionizing financial analysis tools that will reshape the operational landscape for investment firms.

Join Our Team as a Machine Learning Engineer! At FanDuel, we recognize that data is the lifeblood of our organization. As a Machine Learning Engineer, you will harness the power of our extensive real-time and relational datasets to drive insights that enhance user experiences. Your analytical skills will transform every interaction—from user clicks to game outcomes—into actionable intelligence, enabling us to make faster, more informed decisions that keep us ahead of the competition. Your role will be pivotal in fostering collaboration across teams. You will serve as the bridge between engineering teams, facilitating the development of our online applications while ensuring that essential data is available for feature engineering. Collaborating with Data Scientists and Analysts, you will help bring AI-driven insights into production and validate their effectiveness. Your efforts will be instrumental in organizing, modeling, and presenting data in a manner that provides a unified information structure, empowering FanDuel to respond intelligently to market dynamics and on-field events. If you are a Machine Learning Engineer with aspirations to thrive in a big data environment, we encourage you to apply! Your Responsibilities: Design and implement intelligent search systems incorporating typeahead search, vector search, and ML personalization to optimize user experience. Contribute to the creation of scalable serving systems for ML and GenAI/LLM models. Develop platform features and tools (e.g., CLI, SDK, Infrastructure Automation) that enhance the ML model lifecycle and GenAI/LLM application deployment. Utilize business intelligence tools such as Tableau, Knime, and Looker. Ensure data security and privacy compliance (e.g., GDPR, CPP). Implement data governance and testing frameworks. Support continuous integration and delivery of data products. Participate in an inclusive culture that prioritizes excellence, personal growth, and well-being.