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
- Communicates Effectively
- Customer Focus
- Drives Results
- Manages Conflict
