Senior Data Engineer

National Geographic; Boston (MA); On-site; USD 116,800 - 146,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

DraftKings in the United States is seeking a Senior Data Engineer to build scalable data infrastructure and transform complex transactional and financial data into trusted, reporting-ready datasets that support regulatory reporting, financial operations, and business insights.

You’ll collaborate with engineering, compliance, analytics, and cross-functional teams, leveraging Snowflake, Databricks, Kafka, and cloud tools, while mentoring teammates to elevate data quality, governance, and platform

Qualifications

• Bachelor's degree in Computer Science or related field with 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 in real-time and batch data processing.
• Experience building modern cloud-based data platforms using Snowflake, Databricks, Kafka, or similar technologies.
• Experience with AWS cloud infrastructure and DevOps tools (Terraform, PagerDuty, Datadog).
• Deep understanding of data warehousing, data lakes, ETL frameworks, and scalable data modeling.

Responsibilities

• Build scalable, high-performance data infrastructure for regulatory reporting, financial operations, and business insights.
• Develop reliable data solutions prioritizing accuracy, completeness, traceability, and auditability while supporting governance.
• Leverage AI to improve engineering productivity and data quality across pipelines and products.
• Collaborate with Engineering, Compliance, Analytics, and stakeholders to translate requirements into analytic data models.
• Design and maintain modern data models with data quality, governance, observability, and platform reliability.

Skills

Python

SQL

communication skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Databricks

Kafka

Terraform

PagerDuty

Datadog

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.

What you’ll do as a Senior Data Engineer

• Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted, reporting‑ready datasets supporting regulatory reporting, financial operations, and business insights.
• Develop reliable data solutions that prioritize accuracy, completeness, traceability, and auditability while supporting regulatory compliance and highly governed business processes.
• Leverage AI throughout the software development lifecycle to improve engineering productivity, enhance data quality, and build trusted data products that enable AI‑powered applications and natural language access to data.
• Partner with Engineering, Compliance, Analytics, and cross‑functional stakeholders to translate complex business and regulatory requirements into scalable, analytics‑ready data models and solutions.
• Design, optimize, and maintain modern data models while championing best practices for data quality, governance, observability, and platform reliability.
• Build and optimize modern cloud‑based data pipelines and streaming solutions using technologies such as Snowflake, Databricks, Kafka, or similar distributed data platforms.
• Drive engineering best practices for data transformation, streaming, platform performance, and operational excellence while mentoring teammates and contributing to the continued growth of the Data Engineering Team.
• Collaborate in an agile environment to deliver scalable, resilient solutions that evolve alongside business priorities and platform capabilities.

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, with 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 building modern cloud‑based data platforms using technologies such as Snowflake, Databricks, Kafka, or similar distributed data processing and streaming technologies.
• Experience working with cloud infrastructure, preferably Amazon Web Services (AWS), along with infrastructure and DevOps tools such as Terraform, PagerDuty, and Datadog.
• Deep understanding of modern data architecture, including data warehousing, data lakes, ETL frameworks, and scalable data modeling techniques.
• Experience building trusted data solutions that support financial operations, regulatory reporting, auditability, reconciliation, or other highly governed data domains.
• Experience supporting CFTC‑regulated markets or financial services is preferred.
• Hands‑on experience using AI‑assisted engineering tools such as Claude Code, Codex, or similar technologies to automate workflows, build intelligent agents, and accelerate software development.
• Strong communication, collaboration, and mentoring skills, with the ability to thrive in a fast‑paced environment while partnering effectively across technical and business teams.

The US base salary range for this full‑time position is $116,800.00 – $146,000.00 USD, plus bonus, equity, and benefits as applicable.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.