Online Sr Data Engineer (SEO)

Home Depot / THD; Atlanta (GA); On-site; USD 140,000 - 170,000; Full time

Job summary

Home Depot is seeking a Senior Online Data Engineer to set data operation standards, build data pipelines, and empower analytics for online data needs. The role emphasizes collaboration with cross‑functional partners, project leadership, and the development of scalable analytics solutions.

Responsibilities include guiding requirements, mentoring junior engineers, and delivering high‑quality data applications while advancing predictive analytics and data integration from diverse sources.

Qualifications

• Minimum 4 years of relevant work experience.
• Bachelor’s or Master’s in a quantitative field.
• Demonstrated experience in predictive modeling, data mining, and data analysis.
• Experience developing and testing ETL jobs/pipelines and orchestrating workflows.
• Proficiency in Python and BigQuery data stitching and enrichment.
• Experience building batch and streaming pipelines; strong SQL and performance tuning.

Responsibilities

• Translate business needs into effective data solutions and collaborate with internal stakeholders.
• Lead project goals, prioritize work, and mentor junior engineers.
• Develop and deliver scalable data pipelines and analytics solutions with quality and speed.
• Guide requirements gathering, design, and development of complex data applications.
• Advance predictive and prescriptive analytics with replicable methods.

Skills

Data analytics

Cross-functional collaboration

Mentoring

Communication

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Python

Google BigQuery

PySpark

Airflow

DataProc

SQL

JavaScript

React

Nucleus

Retina

KPI Shield

Alert Goose

Job description

The Senior Online Data Engineer will establish standards for data operations, build and maintain data pipelines, and enable analytics capabilities to support Home Depot's online data requirements.

Responsibilities

• 20% - Business Collaboration
  • Translate extensive business knowledge into effective solution approaches
  • Foster trust and collaboration with internal customers and cross‑functional teams
  • Educate both technical and non‑technical business partners on advanced analytics concepts
  • Maintain a clear understanding of IT needs to ensure team success in addressing business challenges
  • Identify new opportunities to leverage data science as a competitive advantage
• 30% - Project Management and Team Support
  • Partner with project teams and business stakeholders to define project goals
  • Provide guidance on prioritization and uphold quality standards
  • Mentor and coach junior team members to grow technical capabilities
  • Coordinate workload and resource distribution with managers and the team
  • Support recruitment and hiring efforts for the data team
• 35% - Solution Development
  • Deliver tasks with high efficiency and quality
  • Select, apply, and interpret advanced analytics methodologies appropriately
  • Communicate insights and recommendations to both technical and non‑technical leaders and business partners
  • Prepare reports, updates, and presentations on project or solution progress
  • Explain the impacts of recommendations to align stakeholders and drive proper implementation
• 15% - Technical Exploration and Development
  • Guide project teams through requirements gathering, design, and development of complex applications or programs
  • Pursue advances in analytics, technical skills, and additional data sources
  • Contribute to the ongoing improvement of predictive and prescriptive analytics with replicable solutions

Requirements

• Must be 18 years of age or older
• Must be legally permitted to work in the United States

Technologies

• Python
• Google BigQuery
• PySpark
• Airflow
• DataProc
• SQL
• JavaScript
• React
• Nucleus
• Retina
• KPI Shield
• Alert Goose

Direct Manager / Direct Reports

This Position typically reports to Manager or Above.

This role has 0 direct reports.

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time is spent sitting in a comfortable position with frequent opportunities to move. On rare occasions, there may be a need to move or lift light articles.

Working Conditions

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

• Must be 18 years of age or older
• Must be legally permitted to work in the United States

Preferred Qualifications

• Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
• 5+ years of relevant work experience
• Demonstrated experience in predictive modeling, data mining, and data analysis
• Experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, scripting for automation, and supporting pipelines in production
• Proficiency in Python and experience coding for data stitching and enrichment using Google BigQuery
• Experience building batch and streaming data pipelines
• Experience writing analytical SQL queries and performance tuning
• Ability to integrate data from multiple sources
• Experience with front‑end technologies and QA applications (JavaScript, React, Nucleus, Retina, KPI Shield, Alert Goose)
• Ability to generate tags for site data
• Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows
• Ability to optimize pipeline run times and reduce storage costs
• Skill in prioritizing requests and managing a product roadmap
• Coaching junior engineers to improve code quality and data engineering practices
• Strong verbal and written communication skills at all levels

Minimum Education

The knowledge, skills and abilities typically acquired through a bachelor's degree program or equivalent degree in a related field.

Preferred Education

The knowledge, skills and abilities typically acquired through a master's degree program or equivalent degree in a related field.

Minimum Years of Work Experience

4

Preferred Years of Work Experience

5

Minimum Leadership Experience

No previous leadership experience

Preferred Leadership Experience

No previous leadership experience

Certifications

None

Competencies

• Action Oriented
• Collaborates
• Drives Engagement
• Collaborates
• Drives Engagement
• Drives Results
• Manages Conflict