Senior Data Engineer

DraftKings Inc.

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.

Posted 7/1/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building scalable data infrastructure and designing real-time and batch data pipelines using tools like Kafka, Databricks, and Snowflake. Proficient in data modeling techniques and experienced in collaborating with cross-functional teams to deliver analytics-ready datasets.

Highest-signal resume keywords

Data Infrastructure DevelopmentReal-Time Data Pipeline DesignPython ProficiencySnowflake ExperienceData Modeling Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingETL FrameworksNoSQL DatabasesData WarehousingData LakesAI-Assisted Engineering ToolsKafkaDatabricks

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

SnowflakeDatabricksKafkaAWSTerraformPagerDutyDatadog

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Data EngineeringData InfrastructureDistributed Data SystemsAgile EnvironmentBusiness-Critical Reporting

Tech Stack

Tools & technologies

AWSCloudDynamoDBETLKafkaMongoDBNoSQLPythonSQLTerraformVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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