As a Data Engineer, Platform, you will play a critical role in building and scaling the foundational ingestion layer of our data ecosystem. This role focuses on designing and developing high-throughput, fault-tolerant data pipelines that integrates a diverse set of upstream systems into our data lake and data warehouse platforms. You will work on high-volume, high-frequency data ingestion (batch and real-time), ensuring reliability, observability, and data quality across the platform. In addition to hands-on engineering, you will contribute to evolving Data Ingestion as a platform product, driving standardization, performance optimization, and automation - including leveraging AI-assisted development and intelligent automation frameworks. What You'll Do • Design, build, and maintain scalable data ingestion pipelines supporting a wide range of source systems (APIs, databases, streaming platforms, third-party data providers). • Develop batch and real-time ingestion frameworks capable of handling high data volumes and low-latency requirements. • Establish and enhance observability, monitoring, and alerting for ingestion pipelines (latency, throughput, failures, data freshness). • Implement and enforce data quality checks and validation frameworks at ingestion points. • Contribute to the development of Data Ingestion as a platform product, including reusable frameworks, standards, and best practices. • Leverage AI-assisted development tools and automation to accelerate pipeline development, improve code quality, and enhance operational efficiency (e.g., code generation, testing, anomaly detection, workflow automation). • Partner with upstream system owners and downstream consumers to define data contracts, SLAs, and schema evolution strategies. • Optimize pipelines for performance, cost, and efficiency across compute and storage layers. • Use Infrastructure as Code (IaC) to provision and manage ingestion infrastructure in a consistent and scalable manner. • Collaborate with platform, analytics, and data science teams to ensure seamless data availability and usability. What You'll Bring • At least 1 year of experience in data engineering, with a strong focus on data ingestion and pipeline development. • Proficiency in Python and SQL, with hands-on experience developing real-time data streaming solutions. • Working knowledge of Snowflake, Databricks, and Kafka in a modern data stack. • Familiarity with cloud infrastructure and DevOps tools such as Terraform, PagerDuty, and DataDog. • Experience designing data warehouses, data lakes, and ETL pipelines using modern data modeling techniques. • Exposure to cloud platforms, preferably Amazon Web Services (AWS). • Experience with NoSQL databases like MongoDB or DynamoDB. • Experience with data reporting tools (e.g., Tableau), and data logging/monitoring tools is preferred • Strong communication and collaboration skills, with the ability to thrive in fast-paced, cross-functional teams. 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 101,600.00 USD - 127,000.00 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.