• Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

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 As a Data Engineer, you'll support the development and reliability of business-critical reports and dashboards that power decision-making across DraftKings. You'll work closely with teammates across the Data Engineering, Analytics, TPM, QA and Ops teams to create, maintain, and improve scalable BI solutions. Whether it's automating workflows, refining reporting logic, or supporting on-call operations, you'll play a key role in ensuring our BI ecosystem remains accurate, efficient, and user-friendly. This is an ideal role for someone early in their data career who's excited to solve real business problems through data. What you'll do as a Data Engineer - Build and maintain reports and dashboards that support day-to-day decision-making across the business - Participate in an on-call rotation to ensure the reliability of BI services and dashboards - Collaborate with Data Engineering, Analytics, QA and Ops teams to ensure reporting consistency, documentation, and data quality - Identify and implement opportunities to automate reports, reduce manual work, and improve speed to insight - Troubleshoot reporting issues and data anomalies in coordination with engineering partners - Support our data governance and data quality standards within the BI environment - Enhance reporting workflows and performance through continuous process improvement - Translate stakeholder needs into scalable BI solutions using modern reporting tools What you'll bring - At least 1-3 years of experience in data engineering, BI development, analytics, or reporting - Proficiency with reporting or BI tools such as Sigma, Tableau, Looker, or Power BI - Hands-on experience with cloud data platforms, particularly Snowflake - Strong SQL skills and a solid understanding of data structures used in reporting - Interest in automation, scripting, and workflow tools to improve reporting efficiency - Comfort supporting business-critical reporting needs as part of an on-call rotation - Strong attention to detail, problem-solving mindset, and communication skills - Curiosity about modern data technologies and AI tools to improve BI infrastructure - Fluency in English #LI-GS1 #LI-REMOTE 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.

• Atuar na modelagem, criação e configuração de bancos de dados Oracle, incluindo tabelas, sequences, chaves primárias e demais objetos de estrutura, além de processos de carga inicial e higienização de dados; • Desenvolver e manter APIs de integração para atualização e inserção de dados mestres, garantindo consistência e sincronismo entre sistemas; • Construir APIs para exposição de dados, suportando consultas e posicionamento das informações para consumo por sistemas internos e externos; • Implementar e evoluir processos de auditoria de dados, incluindo rastreabilidade (data lineage) e histórico de alterações; • Apoiar a implementação de mecanismos de sincronização de dados, podendo envolver uso de triggers e Oracle GoldenGate (OGG), conforme necessidade do ambiente;

DomainTools is seeking a **R&D Data Engineering Intern**. This role is intended for those seeking to hone their development and data analysis skills as they begin their career. A successful candidate will be well organized, collaborative, and experienced in working with remote teams. As our intern, you will be part of a critical team supporting production machine learning pipelines, providing development and ad-hoc support to our business. **Responsibilities include**: assisting in data hygiene projects and documentation to maintain data integrity, automating processes, and supporting the R&D team on other special projects as needed. These valuable opportunities provide hands-on experience, allowing you to put your educational knowledge into action and lay a solid foundation for your future. The role provides an excellent learning opportunity specifically for those interested in internet security, machine learning, and production development patterns. The right person for us will have a support oriented mentality, wanting to enable organizations to make better business decisions and improve efficiency. **Key Responsibilities:** - Data cleaning and preparation to ensure our machine learning pipelines remain accurate and reliable. - Update and maintain code to ensure our system stays compatible with evolving data sources. - Develop and improve tools to monitor data health and help the team explore new ways to use our datasets.