Senior Data Engineer
DraftKings (Employee Referral Portal) Open At a glance
Senior Data Engineering role at DraftKings (Employee Referral Portal). Remote, Canada · full-time · no salary stated · we estimate CA$121,500–CA$152,625 across Canada.
DraftKings (Employee Referral Portal) has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build infrastructure that turns raw and historical data into dependable insights for analytics and reporting
- Create and maintain streaming and batch pipelines with Kafka, Databricks and Snowflake
- Develop data experiences where teammates can ask questions in natural language and use autonomous workflows
- Shape analytics-ready datasets with engineering, analytics and business partners, while improving data models and quality
- Set engineering practices for streaming and platform performance, mentor teammates and deliver work in an agile setting
What you bring
- At least three years building and maintaining scalable data platforms and distributed systems
- Strong Python and SQL skills, including practical experience creating real-time streaming solutions
- Hands-on work with Snowflake, Databricks, Kafka and cloud data platforms
- A computer science degree or related education, or equivalent training and professional experience
Who this fits
This senior role suits an experienced data engineer who can build streaming and batch systems, collaborate across technical and business teams, and mentor other engineers. It is remote in Canada. A gaming license from the relevant state agency may be required as a condition of employment.
From the employer
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. 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. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
As a Senior Data Engineer, you'll build the real-time data capabilities that power analytics, reporting, and intelligent experiences across our platform. You'll design and scale modern data infrastructure, turning complex data into trusted insights that help teams make faster, more informed decisions. Working across Engineering, Analytics, and business teams, you'll solve challenging technical problems, shape the future of our data architecture, and create the foundation for AI-powered experiences that accelerate how we build and innovate.
What you'll do as a Senior Data Engineer
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.
Partner with Engineering, Analytics, and cross-functional stakeholders to translate complex business requirements into scalable, analytics-ready datasets.
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.
What you'll bring
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 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.
Hands-on experience using AI-assisted engineering tools such as Claude Code, Codex, or similar technologies to build agents, automate workflows, and accelerate software development.
Strong communication and collaboration skills, with the ability to thrive in a fast-paced, cross-functional environment while mentoring and supporting other engineers.
Join Our Team
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
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