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About the role

  • Senior Data Engineer responsible for building real-time data capabilities and infrastructure at DraftKings. Collaborating with various teams to optimize data solutions and drive innovative AI experiences.

Responsibilities

  • Build scalable, high-performance data infrastructure
  • Design and maintain real-time and batch data pipelines using Kafka, Databricks, and Snowflake
  • Develop reliable data solutions for business-critical reporting and analytics
  • Build AI-powered data experiences for data exploration and analysis
  • Partner with cross-functional teams to translate business requirements into analytics-ready datasets
  • Design and optimize modern data models (Star Schema, Data Vault)
  • Drive best practices for data engineering and mentor teammates
  • Collaborate in an agile environment to support evolving business needs

Requirements

  • Bachelor's Degree in Computer Science or a related field, or equivalent experience
  • At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems
  • Strong proficiency in Python and SQL
  • Hands-on experience with Snowflake, Databricks, Kafka, and cloud-based data platforms
  • Familiarity with AWS and DevOps tools (Terraform, PagerDuty, Datadog)
  • Understanding of data warehousing, data lakes, ETL frameworks, and data modeling techniques
  • Experience with NoSQL databases (MongoDB, DynamoDB)
  • Proficient with AI-assisted engineering tools (Claude Code, Codex)
  • Strong communication and collaboration skills

Benefits

  • Health insurance
  • 401(k) plans
  • Paid time off
  • Flexible work arrangements

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudDynamoDBETLKafkaMongoDBNoSQLPythonSQLTerraformVault

Location requirements

RemoteCanada

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