Senior Data Engineer

Visa Hunt; Boston (MA); On-site; CAD 110,000 - 145,000; Full time

Job summary

DraftKings is seeking a Senior Data Engineer to build real-time data capabilities that power analytics, reporting, and intelligent experiences across our platform.

You will design scalable data infrastructure, develop pipelines with Kafka, Databricks, and Snowflake, and collaborate with cross-functional teams to translate complex requirements into analytics-ready datasets.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 3+ years designing, building, and maintaining scalable data platforms and distributed data systems.
• Strong Python and SQL with hands-on experience in real-time data streaming.
• Experience with Snowflake, Databricks, Kafka, and modern cloud data platforms.
• Experience with AWS and DevOps tools (Terraform, PagerDuty, Datadog).
• Knowledge of data warehousing, data lakes, ETL frameworks, and Data Vault/Star Schema.
• Experience with MongoDB or DynamoDB; Sigma BI a plus.
• Hands-on experience with AI-assisted engineering tools (Claude Code, Codex).
• Strong communication and collaboration in cross-functional teams.

Responsibilities

• Build scalable data infrastructure transforming raw data into actionable insights.
• Design, develop, and maintain real-time and batch data pipelines (Kafka, Databricks, Snowflake).
• Develop reliable data solutions for reporting, analytics, and platform insights.
• Create AI-powered data experiences enabling natural language data exploration.
• Collaborate with engineering, analytics, and stakeholders to translate requirements into datasets.
• Model data with Star Schema and Data Vault, ensuring quality and governance.
• Mentor teammates and advance data engineering practices in an agile environment.
• Deliver scalable solutions meeting evolving business and platform needs.

Skills

Python

SQL

Data modeling

Communication

Education

Bachelor's degree in CS or related field

Tools

Snowflake

Databricks

Kafka

AWS

Terraform

Datadog

PagerDuty

Sigma BI

MongoDB

DynamoDB

Claude Code

Codex

Job description

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.

Originally posted on Himalayas