Senior Data Engineer

National Geographic; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

DraftKings is a technology company that uses artificial intelligence to support and enhance its customer experiences and operational processes. The Senior Data Engineer will build the data foundation that powers regulatory reporting, financial operations, and AI‑enabled capabilities across our platform.

You will design and scale high‑performance data infrastructure, develop reliable data pipelines, and mentor teammates while collaborating with cross‑functional stakeholders in an agile

Qualifications

• 3+ years designing and maintaining scalable data platforms.
• Strong Python and SQL with real-time and batch processing experience.
• Experience with cloud platforms (AWS) and data tools.
• Hands-on with AI-assisted engineering tools.
• Fluency in English.

Responsibilities

• Design and scale high‑performance data infrastructure that transforms complex transactional and financial data into trusted, reporting‑ready datasets.
• Develop reliable data pipelines and products to support regulatory reporting, financial operations, analytics, and operational insight while ensuring data accuracy and reliability.
• Design, build, and optimize modern data models and distributed data pipelines.
• Leverage AI throughout the software development lifecycle to improve engineering productivity, reinforce data quality, and build trusted data products.
• Collaborate with cross‑functional stakeholders to translate complex business and regulatory requirements into scalable, analytics‑ready data models and solutions.
• Mentor Data Engineering teammates by sharing best practices, providing technical guidance, and raising engineering standards across the team.
• Participate in an agile environment to deliver scalable data solutions that meet evolving business and regulatory needs.

Skills

Python

SQL

Tools

Snowflake

Databricks

Kafka

Terraform

Datadog

PagerDuty

Job description

DraftKings is a technology company that uses artificial intelligence to support and enhance its customer experiences and operational processes. The Senior Data Engineer will build the data foundation that powers regulatory reporting, financial operations, and AI‑enabled capabilities across our platform.

Responsibilities

• Design and scale high‑performance data infrastructure that transforms complex transactional and financial data into trusted, reporting‑ready datasets.
• Develop reliable data pipelines and products to support regulatory reporting, financial operations, analytics, and operational insight while ensuring data accuracy and reliability.
• Design, build, and optimize modern data models and distributed data pipelines.
• Leverage AI throughout the software development lifecycle to improve engineering productivity, reinforce data quality, and build trusted data products.
• Collaborate with cross‑functional stakeholders to translate complex business and regulatory requirements into scalable, analytics‑ready data models and solutions.
• Mentor Data Engineering teammates by sharing best practices, providing technical guidance, and raising engineering standards across the team.
• Participate in an agile environment to deliver scalable data solutions that meet evolving business and regulatory needs.

Qualifications

• 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 developing both real‑time and batch data processing solutions.
• Experience with modern cloud‑based data platforms such as Snowflake, Databricks, Kafka, or similar distributed data processing and streaming technologies.
• Experience with cloud infrastructure, preferably Amazon Web Services (AWS), and tools such as Terraform, Datadog, and PagerDuty.
• Solid understanding of data warehousing, data lakes, ETL frameworks, distributed data processing, and modern data modeling techniques.
• Experience building trusted data solutions that support financial operations, regulatory reporting, auditability, reconciliation, or other governed data domains.
• Hands‑on experience with AI‑assisted engineering tools such as Claude Code, Codex, or similar technologies.
• Fluency in English.

Additional Information

• Position may be remote or office‑based; location can be discussed during the interview process.
• As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency. DraftKings will guide you through the process if this is relevant to your role.

DraftKings Inc. is a publicly traded company (NASDAQ: DKNG) headquartered in Boston, focusing on digital sports entertainment and gaming. Employment is subject to applicable equal opportunity and diversity statements as required by law.