Senior Data Engineer (Platform)

Boston, Massachusetts

Building the possibilities.

DraftKings is growing quickly and we're looking for a Senior Data Engineer to help establish and lead a data team centered around the mission of providing a best-in-class experience for our products and customers. This position requires strong technical skills and a bias toward collaboration. You will be working across teams, informing business decisions, and helping to expand our software platform.

What you'll do as a Senior Data Engineer (Platform) :

  • Take ownership of building data solutions to provide actionable insights into key business metrics.
  • Design scalable processes that support data transformation and structures, metadata, dependency and workload management.
  • Bring operational excellence with a focus on performance analysis, optimization, and tuning.
  • Have the opportunity to see your personal work make an immediate impact on influential products.
  • Care about agility as much as you care about scalability. We roll out products very quickly and are looking for a team that can pivot at a moment's notice.
  • Work with your team under fast deadlines to design, build, and deliver innovative applications.
  • Lead your team in design sessions and ensure your team delivers high quality work that aligns with the mission of our platform.

What you'll bring :
  • Experience writing software (preferably with Python) and scripting (Bash)
  • Experience with containers and container orchestration
  • Experience working with CI/CD pipelines and deployment automation
  • Experience with a variety of data logging/monitoring tools, such as DataDog, CloudWatch, etc
  • You have strong experience in all aspects of business intelligence and data engineering, including data warehousing, delivery, and operations.
  • A deep knowledge of a variety of AWS services like Lambda, Kinesis, S3, EC2, ECS/ECR, IAM, CloudWatch, Athena, etc
  • Experience provisioning Infrastructure-As-Code (IAS) with either Terraform or CloudFormation
  • The ability to build and optimize data pipelines, transformations, architectures, and data sets.
  • Experience working with MPP platforms like Redshift, Snowflake, Vertica and/or Azure Data Warehouse.

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