Data Engineer

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $101.6k - $127k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data 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 • Build fault-tolerant and resilient pipelines with strong guarantees around data integrity, idempotency, and recovery • 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

• 3+ years of experience in data engineering • Proven experience building high-volume data pipelines (batch and/or streaming) in cloud environments • Strong hands-on experience with: AWS services (e.g., S3, Lambda, Glue, Kinesis, DMS, EventBridge) • Python and SQL for data processing and pipeline development • Orchestration tools (e.g., Airflow) • Experience working with data lakes and data warehouses (e.g., Snowflake, Redshift, Databricks) • Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis, CDC pipelines) • Familiarity with Infrastructure as Code (e.g., Terraform) • Strong understanding of: Data modeling basics, Schema evolution and data contracts, Fault tolerance and idempotent processing • Experience implementing monitoring and observability using tools such as Datadog, CloudWatch, or similar.

🏖️ Benefits

• bonus • equity • benefits as applicable