
10,000+ employees
Founded 1978
🛒 Retail
👥 B2C
💰 Debt Financing on 2007-07
Retail • B2C
The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
🕒 April 29
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1978
🛒 Retail
👥 B2C
💰 Debt Financing on 2007-07
Retail • B2C
The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
• Responsible for building and maintaining the data pipelines and structures that power enterprise analytics. • Develop curated datasets and maintain semantic layer logic. • Ensure the reliability of data products. • Collaborate with senior engineers to implement architectural standards. • Transform raw data into actionable insights. • Focus on data integrity, performance, and scalability.
• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • 1–3 years of experience in data engineering or a backend-heavy technical role. • Proficiency in SQL & Python for complex data transformation and automation. • Hands-on experience with Cloud Data Warehouses (BigQuery preferred). • Experience in Data Modeling, specifically building curated or ADS (Analytical Data Store) layers. • Exposure to Orchestration & CI/CD tools such as Airflow, Jenkins, and Git. • Experience in Data Validation, including unit testing and root cause analysis for pipeline failures.
• Health insurance • 401(k) matching • Paid time off • Flexible work hours • Professional development opportunities
Apply Now🕒 April 29
Data Engineer at The Phia Group optimizing data pipelines and collaborating with various teams. Responsibilities include supporting AI/ML initiatives and ensuring reliable data delivery.
🇺🇸 United States – Remote
💰 Private Equity Round on 2018-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
Azure
ETL
Python
SQL
🕒 April 29
Data Engineer supporting development, maintenance, and optimization of data pipelines at The Phia Group. Collaborating across teams to solve complex problems and support data-driven initiatives.
🇺🇸 United States – Remote
💰 Private Equity Round on 2018-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
Azure
ETL
Python
SQL
🕒 April 29
Data Engineer supporting development, maintenance, and optimization of data pipelines at The Phia Group. Collaborating with teams on data-driven initiatives and machine learning model integration.
🇺🇸 United States – Remote
💰 Private Equity Round on 2018-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
Azure
ETL
Python
SQL
🕒 April 28
Data Engineer developing scalable data pipelines for LLMs and ML models in healthcare. Collaborating with teams to ensure data quality, compliance, and advanced data engineering practices.
Airflow
Apache
AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
Python
Scala
Spark
🕒 April 24
Data Engineer building scalable data pipelines for a healthcare technology company focused on proactive patient care. Collaborating with teams to ensure reliable data flows and models for decision making.
Airflow
Apache
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Python
SQL