Data Engineer – Platform

🕒 vor 19 Tagen

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $101.600 - $127.000 / Jahr

⏰ Vollzeit

🟢 Junior

🏗️ Plattformingenieur

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DraftKings Inc.

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2012

📣 Marketing

💼 Beratung

📦 Logistik

Marketing • Consulting • Logistics

DraftKings Inc. ist ein digitales Sport-Entertainment-Unternehmen, das eine führende Online-Sportwettenplattform, tägliche Fantasy-Sportarten und eine Casino-Plattform betreibt, die Real-Money-Wetten und Spielerlebnisse über Web- und Mobil-Apps bietet. Es kombiniert Sportunterhaltung, Analysen und Inhalte, um Fans zu begeistern, bietet Marketing- und VIP-/Treueprogramme und unterhält globale Teams in den Bereichen Engineering, Produktentwicklung, Compliance und Kundenerfahrung, wobei der Fokus auf verantwortungsvollem Spielen liegt.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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