Senior Data Engineer: Space Planning & Data Pipelines

The Home Depot; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Job summary

The Home Depot is seeking a Senior Data Engineer to build and maintain data pipelines, validate data, and deliver reliable data products for self-service analytics and business applications. You will translate requirements, ensure data quality, and partner with data science, analytics, and application teams.

You will mentor junior engineers, establish design standards for pipelines, and balance durable designs with near-term data needs, while communicating data tradeoffs to technical and

Qualifications

• 5+ years of relevant experience in data engineering.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• Experience in data architecture, data warehousing, and dimensional modeling.
• Experience developing and testing ETL/ELT jobs and pipelines with orchestration and CI/CD.
• Experience with Dataform or dbt for data transformation and pipeline orchestration.
• Proficiency in Python and SQL with strong performance tuning.
• Ability to stitch and maintain data from multiple sources.
• Excellent communication and collaboration skills.

Responsibilities

• Data validation, ETL, and infrastructure development to ensure data integrity and availability.
• Maintain and optimize data infrastructure, backups, and performance.
• Design and analyze data architecture to meet business requirements.
• Collaborate with team leads and cross-functional partners to assess requirements.

Skills

Data architecture

Data warehousing

Dimensional modeling

ETL/ELT pipelines

Orchestration (Dataform/dbt)

Python

Metadata management

Batch and streaming pipelines

Analytical SQL

Google BigQuery

CI/CD automation

Data integration

Mentoring/coaching

Communication skills

Education

Bachelor's degree in a quantitative/technical field

Job description

The Home Depot is seeking a Senior Data Engineer to build and maintain data pipelines, validate data, and deliver reliable data products for self-service analytics and business applications. You will translate requirements, ensure data quality, and partner with data science, analytics, and application teams.

You will mentor junior engineers, establish design standards for pipelines, and balance durable designs with near-term data needs, while communicating data tradeoffs to technical and