Senior Data Platform Engineer - Remote Impact & Analytics

Carbon Data Solutions

United States

Remote

USD 137,000 - 160,000

Full time

2 days ago
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Job summary

Root is seeking a Senior Data Engineer to join our Data Platform team to drive marketing operations, finance, analytics, and data science enablement across the company. You will guide complex technical implementations with engineers, supporting marketing workflows and defining domain strategy.

We offer a data-rich marketing stack with data collection, scoring pipelines, and analytics interfaces. You will build tooling for faster data onboarding, partner data integration, faster experimentation,

Qualifications

  • 4+ years as a software engineer.
  • Expertise in Python, Terraform, SQL, Spark, Airflow, and dbt.
  • Expertise in Cloud Architecture - AWS Preferred.
  • Machine Learning Operations (Preferred).
  • Data Driven Marketing (Preferred).
  • Proven leadership of projects involving multiple teams across functional domains.
  • Excellent communication skills both with engineering colleagues and senior business leaders.

Responsibilities

  • Partner with Marketing, Product, Data Science, Analytics, and Insurance teams to set quarterly strategy.
  • Identify and socialize technical initiatives that improve product, systems & teams.
  • Coach engineers on experiments and projects aligned with objectives.
  • Contribute code each development cycle to advance team impact.
  • Lead incident response to improve system resiliency.
  • Coordinate with Staff Engineers to establish and evangelize standards.

Skills

Leadership
Communication

Tools

Python
Terraform
SQL
Spark
Airflow
dbt

Job description

Root is seeking a Senior Data Engineer to join our Data Platform team to drive marketing operations, finance, analytics, and data science enablement across the company. You will guide complex technical implementations with engineers, supporting marketing workflows and defining domain strategy.

We offer a data-rich marketing stack with data collection, scoring pipelines, and analytics interfaces. You will build tooling for faster data onboarding, partner data integration, faster experimentation,

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