Skip to main content
Crown DK CAN Ltd.

Senior Data Engineer

RemoteCanada only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Company size
Enterprise
Salary not disclosed
Check eligibility

Open to CA only. Set where you work from to check your eligibility.

No BS summary

Senior Data Engineer, remote for Canada. Requires 3+ years building scalable data platforms and real-time streaming/data pipelines. Needs strong Python and SQL skills plus hands-on experience with Kafka, Databricks, Snowflake and AWS; experience with modern data modeling (Star Schema, Data Vault).

Core skills

KafkaDatabricksSnowflake

Required skills

PythonSQLAWSTerraformPagerDutyDatadogMongoDB/DynamoDBClaude CodeCodex

Optional skills

Sigma

What you'll do

  • Build scalable, high-performance data infrastructure that transforms raw and historical data into trusted, actionable insights.
  • Design, develop, and maintain real-time and batch data pipelines using technologies such as Kafka, Databricks, and Snowflake.
  • Build AI-powered data experiences that enable teammates to explore and analyze data using natural language and support intelligent, autonomous workflows.
  • Design and optimize modern data models, including Star Schema and Data Vault, while championing data quality, governance, and observability.
  • Partner with Engineering, Analytics, and cross-functional stakeholders to translate complex business requirements into scalable, analytics-ready datasets and mentor teammates.

What they require

  • A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, training, and professional experience.
  • At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems.
  • Strong proficiency in Python and SQL, with hands-on experience building real-time data streaming solutions.
  • Experience working with Snowflake, Databricks, Kafka, and modern cloud-based data platforms; experience with AWS and infrastructure/DevOps tools such as Terraform, PagerDuty, and Datadog.
  • Experience working with NoSQL databases such as MongoDB or DynamoDB; deep understanding of data warehousing, data lakes, ETL frameworks, and modern data modeling techniques (Star Schema, Data Vault).

DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company.

🇺🇸 United StatesGamingEnterprise
Salary not disclosed