Data Engineer – Platform

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $101.6k - $127k / year

⏰ Full Time

🟢 Junior

🏗️ Platform Engineer

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎲 Gambling

🎮 Gaming

👥 B2C

Gambling • Gaming • B2C

DraftKings Inc. is a digital sports entertainment company operating a leading online sportsbook, daily fantasy sports, and casino platform that delivers real-money betting and gaming experiences via web and mobile apps. It combines sports data, analytics, and content to engage fans, provides marketing and VIP/loyalty programs, and maintains global teams across engineering, product, compliance, and customer experience while emphasizing responsible gaming.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options