• Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases • Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions • Ensure data quality, performance, and cost efficiency across the platform • Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow • Design and manage lakehouse architectures, using technologies like Apache Iceberg and Glue Catalog • Support machine learning and LLM projects by preparing and delivering datasets for use in Amazon SageMaker and Amazon Bedrock

• Designing, implementing, and optimizing data ingestion pipelines and automated workflows using tools such as Snowflake, Snowpipe, dbt, and cloud services (AWS or Azure) • Integrating data from multiple sources including APIs, databases, Excel/CSV files, and cloud applications into PRM’s centralized data warehouse • Developing and maintaining structured data models and curated datasets to support reporting, analytics, and operational insights • Implementing data quality validation, monitoring, and governance controls to ensure reliability, accuracy, and compliance with internal standards • Collaborating with PRM staff across IT, analytics, and program teams to translate business requirements into scalable data solutions • Designing, developing, and optimizing Power BI datasets, reports, and reporting infrastructure to support operational dashboards, analytics, and program insights • Documenting data pipelines, models, workflows, and architecture to support maintainability and knowledge transfer • Delivering defined project milestones aligned with PRM’s ongoing data modernization efforts.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Data Engineer - BI Platform Administration & Enablement (Canada) Job Summary We are seeking a Data Engineer to support and enhance our Business Intelligence platform ecosystem, with a primary focus on Sigma Computing administration and user enablement. This role is ideal for someone who enjoys helping others succeed with data tools, improving platform usability, and ensuring that BI technologies are well-maintained and effectively adopted across the company. You'll work closely with analytics teams, data engineers, and business stakeholders to promote best practices, share knowledge, and showcase new platform features. You will be part of a team that values collaboration, learning, and innovation - and your work will play an important role in empowering teams with the knowledge and tools they need to build great reports and dashboards. This position is well-suited for a mid-level or junior engineer who has administration responsibilities in previous roles and is motivated to grow their skills in BI platform support and enablement. Responsibilities - Serve as an administrator in Sigma Computing, including managing permissions, access controls, and workspace organization. - Provide daily user support, such as resolving report access issues, helping users understand error messages, and troubleshooting connection or data-source problems. - Participate in an on-call rotation to support the operational reliability. - Assist users with best practices for building reports, organizing content, and using Sigma features effectively. - Conduct demos, training sessions, workshops, and documentation to help teams adopt new features and improve their reporting workflows. - Support onboarding of new users and teams into the BI ecosystem. - Collaborate with analytics, data engineering, and product teams to ensure platform stability and support user needs. - Monitor platform performance, usage patterns, and reliability; escalate or address issues as needed. - Contribute to BI governance efforts, including folder structure, naming conventions, permissions hygiene, and lifecycle management. - Participate in evaluating and rolling out new BI features or enhancements. Qualifications - 1-3 years of experience in BI engineering, data engineering, analytics, or platform administration roles. - Previous hands-on experience with tool or platform administration, including managing users, permissions, or configuration settings. - Experience with BI platforms such as Sigma, Tableau, Looker, or Power BI. - Experience with or interest in cloud data warehouse platforms, especially Snowflake (nice to have). - Strong SQL understanding and how reporting tools interact with data models. - Comfortable explaining technical concepts to non-technical users and guiding them through tool usage. - Strong communication and customer-support skills, with a service-oriented mindset. - Familiarity with cloud data warehouses and modern BI environments is an advantage. - Curious, proactive, and eager to learn new tools and a supportive, user-oriented mindset. Why Join Us You will play a crucial role in shaping how teams across the company utilize data on a daily basis. Your support will help deliver faster insights, stronger decision-making, and greater confidence in our BI platforms. This position provides the opportunity to deepen your platform expertise, strengthen your enablement skills, and contribute to a collaborative and forward-thinking BI environment. If you take pride in helping others, improving system reliability, and learning new technologies, we would be glad to have you join our team. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

Leidos is seeking a university student to join our fully remote team as a Data Integration Development Intern supporting CIO Managed Business Applications initiatives. This internship offers an opportunity to gain hands-on experience designing and supporting enterprise data integrations within a structured, secure, and well-governed environment. Our team develops and maintains data integrations that enable secure information exchange between enterprise platforms, including Workday (Leidos’ HR system) and other internal and external applications. The selected candidate will support the development and testing of structured data transformations using XSLT, XML, and API-based technologies under the guidance of experienced integration engineers. This role focuses on contributing within defined development and testing environments, assisting with data mapping, transformation logic, validation activities, and technical documentation. Interns will gain exposure to enterprise SaaS architecture, integration lifecycle management, and secure data handling practices in a production-scale organization. This internship provides practical experience in enterprise system interoperability, structured data engineering, and integration development practices that are highly transferable across modern enterprise environments. Primary Responsibilities - Develop, enhance, and maintain XSLT transformations supporting Workday inbound and outbound integrations - Support integration development lifecycle activities including design, build, test, and deployment - Troubleshoot integration and data transformation issues - Assist in documenting integration logic, technical specifications, and mapping requirements - Support API-based integrations using REST and/or SOAP web services Basic Qualifications - Actively enrolled in an undergraduate or graduate program - US citizenship is required - Foundational knowledge of APIs and system integration concepts - Familiarity with one or more object-oriented programming languages (e.g., Java) - Strong analytical and problem-solving skills ​ Preferred Qualifications - Demonstrated experience with XSLT (academic projects, coursework, or prior internship experience acceptable) If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: April 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.