DraftKings
Senior Data Engineer
Remote - Canada · Senior
Sponsorship not specifiedDetected 1 day ago
PythonSQLNoSQLMongoDBDynamoDBSnowflakeDatabricksAWSCloud PlatformsTerraformDevOpsKafkaData EngineeringCommunicationCollaborationMentoring
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.
- Our teams are energized by innovation and readily embrace emerging technology.
- We're not waiting for the future to arrive.
Responsibilities
- 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.
- Develop reliable data solutions that power business-critical reporting, analytics, and platform insights.
- Build AI-powered data experiences that enable teammates to explore and analyze data using natural language, extending beyond text-to-SQL to support intelligent, autonomous workflows.
- Design and optimize modern data models, including Star Schema and Data Vault methodologies, while championing data quality, governance, and observability.
- Drive best practices for data engineering, streaming, transformation, and platform performance while mentoring teammates and contributing to the continued growth of the Data Engineering Team.
- Collaborate in an agile environment, delivering scalable solutions that support evolving business and platform needs.
Nice to have
- 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 cloud infrastructure, preferably Amazon Web Services (AWS), and familiarity with infrastructure and DevOps tools such as Terraform, PagerDuty, and Datadog.
- Deep understanding of data warehousing, data lakes, ETL frameworks, and modern data modeling techniques, including Star Schema and Data Vault.
- Experience working with NoSQL databases such as MongoDB or DynamoDB
- familiarity with Sigma or similar business intelligence tools is a plus.
- Strong communication and collaboration skills, with the ability to thrive in a fast-paced, cross-functional environment while mentoring and supporting other engineers.
Benefits
- A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, training, and professional experience.
Company info
- At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas.
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This listing is sourced directly from DraftKings's careers page and normalized into a canonical job model.