• Build, test, and document Snowflake data models and business logic in dbt • Apply and improve data quality, testing, observability, and lineage standards • Collaborate with cross-functional partners to define data contracts and interfaces • Contribute to Capital Rx’s modular data platform and client-specific data configurations • Participate in design reviews; propose scalable, maintainable patterns • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes • Optimize cost and performance of jobs, storage, and queries with guidance • Write clear documentation and support knowledge sharing • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

• Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets. • Build and maintain dbt projects (staging → intermediate → marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability. • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains. • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams. • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making. • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics. • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design. • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably. • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity. • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed. • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

• Partner closely with operational and analytics teams to translate business needs into effective data solutions • Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift • Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity • Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

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 Senior Data Engineer, you help will lead the design and implementation of reliable, scalable systems for transforming raw data into structured, usable formats that power data products, reporting, and operational workflows. You'll operate across varied business domains and play a critical role in aligning technical solutions with business strategy. Your work will enable clean, performant data solutions that drive impact at scale. If you're excited about solving complex data challenges in a fast-paced, high-growth environment, come join us and grow your career at DraftKings. Your work will create the next generation of immersive, data-powered gaming experiences that captivate audiences worldwide. What you'll do as a Senior Data Engineer Dive into the world of DraftKings to understand the systems and data structures that support our products Work with engineering, product, and business teams to design data solutions that meet application and reporting requirements. What you'll bring 4+ years of experience in Data Engineering or a closely related field, with demonstrated expertise in building and maintaining production data systems. Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale. Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments. Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas. Proven ability to lead projects through agile software development lifecycles and mentor junior team members. Proficiency with version control systems (e.g., Git) and collaborative engineering practices. Ability to quickly learn industry and DraftKings-specific domain knowledge and leverage it to deliver solutions for critical business needs. 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. The US base salary range for this full-time position is 116,800.00 USD - 146,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.