Real-Time AI Data Platform Engineer

Power Home Remodeling Group; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, life and disability

401(k) plan with matching

Paid vacation and holidays

Parental leave

Job summary

Power Home Remodeling Group is seeking a Data Engineer to build the data foundation powering AI initiatives across the business. You will design batch and streaming pipelines and help evolve a modern lakehouse platform.

You'll work closely with analysts and leaders to translate needs into reliable datasets, improve data quality, and enable AI applications with secure, governed access and retrieval-augmented workflows.

Qualifications

• 5+ years of data engineering experience, with pipelines you've shipped and produced in production
• Strong SQL and Python skills and a solid foundation in data modeling
• Experience with distributed data processing (e.g., Spark) and a track record of performance tuning
• Production experience with data transformation/orchestration tools such as dbt or Airflow
• Experience with data services and APIs; good engineering habits including testing and CI/CD
• Clear written communication and a curiosity to learn new tools, especially for AI data workflows

Responsibilities

• Build batch and real-time data pipelines that the business relies on daily
• Lead the shift to real-time data capabilities and modernize the platform
• Tune and harden production systems for trusted data
• Build the data infrastructure behind AI applications, including retrieval, embeddings, and secure access for AI agents
• Collaborate with analysts and business leaders to translate needs into reliable datasets
• Contribute to code reviews and engineering standards for a growing team

Skills

SQL

Python

Data modeling

Testing

CI/CD

Communication

Curiosity

Tools

Spark

dbt

Airflow

Open table formats

Job description

Power Home Remodeling Group is seeking a Data Engineer to build the data foundation powering AI initiatives across the business. You will design batch and streaming pipelines and help evolve a modern lakehouse platform.

You'll work closely with analysts and leaders to translate needs into reliable datasets, improve data quality, and enable AI applications with secure, governed access and retrieval-augmented workflows.