Data Engineer, FinOps

Position Overview

• Location Type: Remote
• Employment Type: Full time
• Salary: Not specified

As a Data Engineer, FinOps, you’ll combine data engineering and analytics to help improve cloud cost visibility and accountability. Working closely with product, finance, and engineering partners, you’ll build reliable, automated reporting solutions that drive smarter infrastructure decisions across the organization.

Requirements

• SQL: Experience with SQL
• Python: Familiarity with Python
• Cloud Data Platforms: Experience with modern cloud data platforms (e.g., Snowflake, BigQuery)
• Data Visualization: Familiarity with data visualization and reporting tools (Tableau, Looker, Excel, etc.)
• Cloud Cost Concepts: Understanding of cloud cost data and FinOps concepts (or willingness to learn)
• Workflow Automation: Exposure to workflow orchestration or automation tools (e.g., Airflow, AWS Lambda)
• Communication Skills: Strong communication skills, with an ability to collaborate across technical and non-technical teams.

Responsibilities

• Design and deliver data reports and dashboards using tools like Tableau, Looker, Excel, and CloudZero.
• Build and maintain automated data pipelines using technologies like Python, Airflow, and cloud-native services (e.g., AWS Lambda, BigQuery, Snowflake).
• Translate complex cloud cost data into clear, actionable insights for both technical and business stakeholders.
• Integrate infrastructure usage data with business metrics to create a centralized view of cloud spend.
• Identify and automate manual reporting processes to improve efficiency and reliability.

Company Information

• Company Type: Publicly traded (NASDAQ: DKNG) technology company
• Headquarters: Boston
• Industry: Regulated gaming company
• Note: You may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. The company will guide you through the process if relevant.