Senior Data Engineer: Lead Data Pipelines & Analytics

Home Depot; Atlanta (GA); Remote; USD 120,000 - 150,000; Full time

Job summary

The Home Depot is seeking a Senior Data Engineer in Atlanta to translate business needs into scalable data architectures and pipelines. You will build data pipelines, validate data quality, and collaborate with product, analytics, and software teams to deliver actionable insights.

Responsibilities include API development, maintaining data stores, and leveraging PySpark, Airflow, and BigQuery to transform data. You will mentor junior engineers and contribute to data engineering best practices.

Qualifications

• 4+ years of data engineering experience in a professional setting.
• Experience with ETL development and data pipelines.
• Strong Python and SQL proficiency.

Responsibilities

• Develop and maintain data pipelines and APIs to access data.
• Collaborate with analytics, product and software teams to translate requirements into scalable data solutions.
• Design and optimize data storage and transformations for reliability and performance.
• Mentor junior engineers and contribute to data engineering best practices.

Skills

Python

SQL

ETL pipelines

Data modeling

Big data concepts

Cloud data engineering

Mentoring

Communication

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Airflow

PySpark

DataProc

Google BigQuery

CI/CD

APIs

Job description

The Home Depot is seeking a Senior Data Engineer in Atlanta to translate business needs into scalable data architectures and pipelines. You will build data pipelines, validate data quality, and collaborate with product, analytics, and software teams to deliver actionable insights.

Responsibilities include API development, maintaining data stores, and leveraging PySpark, Airflow, and BigQuery to transform data. You will mentor junior engineers and contribute to data engineering best practices.