Data Engineer IV - Remote, Cloud Pipelines & Analytics

Frontdoor, Inc.; Northern (KY); Hybrid; USD 114,000 - 145,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) matching

Employee stock purchase plan

Wellbeing programs

Job summary

Frontdoor, Inc. in the United States is seeking an intermediate Data Engineer to transform raw data into reliable data systems and align data with business goals.

You will build scalable pipelines, apply dimensional modeling, and optimize data architecture across AWS/GCP, Looker, Tableau, and Snowflake. Collaborate with stakeholders, automate processes to improve efficiency, and support new products through data ingestion, processing, and reporting.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science or related field, with 5+ years in data engineering.
• Strong data modeling, ETL, warehousing, and data lake experience.
• Experience with cloud platforms (AWS/GCP) and Python/SQL.

Responsibilities

• Build and maintain scalable data pipelines for batch and streaming in cloud environments.
• Design tables and views using dimensional modeling to map business processes.
• Optimize architecture for cost, performance, and reliability.
• Deliver clean, reliable data through ETL pipelines for analytics.
• Collaborate with stakeholders to understand data needs and translate into models.
• Automate processes to improve efficiency and governance.
• Support new products via data ingestion, processing, and reporting.

Skills

Data modeling

ETL development

Data warehousing

Data pipelines

Python

SQL

Cloud (AWS/GCP)

Looker

Tableau

Big data tools

Education

Bachelor's in Computer Science, Engineering, Data Science, or related field

Tools

Snowflake

Looker

Tableau

AWS

GCP

Job description

Frontdoor, Inc. in the United States is seeking an intermediate Data Engineer to transform raw data into reliable data systems and align data with business goals.

You will build scalable pipelines, apply dimensional modeling, and optimize data architecture across AWS/GCP, Looker, Tableau, and Snowflake. Collaborate with stakeholders, automate processes to improve efficiency, and support new products through data ingestion, processing, and reporting.