Senior Data Engineer - ETL, Data Pipelines & Analytics

The Home Depot; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

The Home Depot is seeking an Online Data Engineer to translate business requirements into robust data infrastructure. You will design data models, build and maintain data pipelines, and develop APIs to access customer data while ensuring data quality and reliability across enterprise systems.

Join a team that leverages big-data techniques to cleanse, organize, and transform data, enabling actionable insights and scalable analytics for strategic decision-making.

Qualifications

• Bachelor's or higher in a quantitative field or related experience.
• 5+ years of relevant work experience in data engineering or analytics.
• Experience with predictive modeling, data mining, and data analysis.
• Proficient in ETL development, orchestration, and production support.
• Strong Python programming and SQL skills.
• Knowledge of metadata management and batch/streaming pipelines.
• Experience with PySpark, AirFlow, DataProc for data engineering.

Responsibilities

• Collaborate with business partners to define data solutions and roadmaps.
• Develop, test, and maintain scalable data pipelines and APIs.
• Analyze, validate, and transform data for reliable analytics.
• Mentor junior engineers and contribute to design standards.

Skills

Python

SQL

PySpark

AirFlow

DataProc

Google BigQuery

CI/CD

ETL pipelines

JavaScript

React

Nucleus

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AirFlow

DataProc

Google BigQuery

CI/CD pipelines

Python

React

Nucleus

Job description

The Home Depot is seeking an Online Data Engineer to translate business requirements into robust data infrastructure. You will design data models, build and maintain data pipelines, and develop APIs to access customer data while ensuring data quality and reliability across enterprise systems.

Join a team that leverages big-data techniques to cleanse, organize, and transform data, enabling actionable insights and scalable analytics for strategic decision-making.