Staff Data Engineer

🕒 5 days ago

🇺🇸 United States – Remote

💵 $168.6k - $215k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Root Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.

📋 Description

• Drive financial data operations, including commissions payments, incentive programs, and critical backend financial systems • Lead complex technical initiatives across engineers within the data domain • Ensure accuracy, scalability, and reliability of data pipelines supporting financial processes • Partner with Finance, Product, and Engineering stakeholders to define strategy and shape the technical roadmap • Deliver systems supporting high-stakes financial workflows • Improve platform-level tooling for faster onboarding of data sources • Integrate data with partners • Enable faster experimentation cycles • Build analytics and data science infrastructure for rapid decision loops • Set strategy with Finance, Product, Data Science, Analytics, and Insurance stakeholders • Identify and socialize technical initiatives improving products, systems, and teams • Coach and guide engineers in planning aligned experiments and projects • Contribute code each development cycle • Lead incident response and improve system resiliency • Coordinate with Staff Engineers to establish and evangelize standards and best practices

🎯 Requirements

• 8+ years of data engineering or software engineering experience with extensive expertise in data engineering • Proficiency in Python and SQL • Proficiency in Redshift, Spark, Apache Iceberg, and Terraform • Proficiency in Airflow and dbt • Expertise in AWS cloud architecture • Proven leadership of projects involving multiple teams across functional domains • Excellent communication skills with engineering colleagues and senior business leaders • Ability to be on camera for virtual interviews • Expertise in building large-scale finance, payments, and commissions systems is a bonus

🏖️ Benefits

• Competitive bonus • Equity offering • Work remotely from any location across the US • Reasonable accommodation during the hiring process for qualified applicants with disabilities