Data Engineer

Power Home Remodeling Group; West Chester (Chester County); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, life insurance

401(k) match

Paid vacation and holidays

Parental leave

Equipment & software provided

Growth opportunities

Fertility benefits

Job summary

Power Home Remodeling Group is seeking a Data Engineer to help build the data foundation that powers AI across the business, from the ground up. You’ll work on a modern, open-source lakehouse and push real-time data and production-grade data for AI.

The small, influential team rewards curiosity and craftsmanship, offering ownership over architecture, standards, and tooling. You’ll collaborate with analysts and leaders to turn needs into reliable datasets and contribute to engineering excellence.

Qualifications

• 5+ years of data engineering experience with pipelines in production.
• Experience with distributed data processing (Spark) and optimizing performance.
• Production experience with data transformation/orchestration tools (dbt, Airflow).
• Strong SQL and Python skills with a solid foundation in data modeling.
• Experience working with data services and APIs.
• Good engineering practices including testing, version control, and CI/CD.
• Clear written communication.
• Curiosity and interest in AI data tooling.

Responsibilities

• Build batch and real-time data pipelines that power the business.
• Lead the shift to real-time data processing and platform modernization.
• Tune and harden production systems for reliability and trust in data.
• Build the data infrastructure behind AI applications, including retrieval, embeddings, and secure access for AI agents.
• Turn analyst and business needs into reliable datasets.
• Contribute to code reviews and set engineering standards for the team.

Skills

SQL

Python

Spark

Data modeling

Airflow

APIs

Tools

dbt

Airflow

Spark

Docker

Kubernetes

Job description

Data Engineer, Data Platform & AIHelp build the data foundation that powers AI across the business, from the ground up.

Data Engineer, Data Platform & AIHelp build the data foundation that powers AI across the business, from the ground up.

Why This Role Is Different

This isn't a seat on a large, established team where the big decisions were made years ago. You'll have real influence here. You'll help shape the architecture choices, standards, and practices that define how the company uses data and AI for years to come.

You'll work on a modern, open-source-first lakehouse and help take it into its next phase: real-time data and production-grade data for AI. If you've wanted to do meaningful work at the point where data engineering meets generative AI, this is that opportunity.

About The Team

We're a small, high-impact team building the platform that analytics and AI across the business depend on. You'll partner closely with the technical leaders, have real influence over technical direction, and grow your career alongside the platform. We value curiosity, craftsmanship, and clear communication, and we invest in the people who bring them.

What You'll Do

• Build pipelines that matter. Design, build, and own batch and real-time data pipelines that the business relies on every day.
• Lead the shift to real time. Play a hands-on role in modernizing the platform to new tools, architectures, and capabilities as the business grows.
• Make things fast and reliable. Tune and harden production systems so the business can trust its data.
• Build the foundation for AI. Help create the data infrastructure behind intelligent applications, including retrieval, embeddings, and secure, governed access for AI agents.
• Turn ideas into impact. Work with analysts and business leaders to turn their needs into datasets they can depend on.
• Raise the bar. Contribute to code reviews, share knowledge, and help set the engineering standards for a growing team.

What You'll Bring

• 5+ years of data engineering experience, with pipelines you've shipped and supported in production
• Hands-on experience with distributed data processing (such as Spark) and a solid grasp of how to make it perform
• Production experience with modern data transformation and orchestration tools (such as dbt or Airflow)
• Strong SQL and Python skills and a solid foundation in data modeling
• Experience working with data services and APIs
• Good engineering habits, including testing, version control, and CI/CD
• Clear written communication
• Curiosity and a real interest in learning new tools, especially in data for AI

Preferred

• Experience with open table formats or distributed query engines
• Experience with change data capture or streaming technologies
• Hands-on work building retrieval-augmented generation (RAG) or similar AI data workflows
• Exposure to AI agents, agent tooling, or AI evaluation
• Familiarity with containers, orchestration, or infrastructure as code

What's In It For You

• Real impact. Help shape the technology, practices, and direction of a platform the whole business relies on.
• Cutting-edge work. Work hands-on with modern data architecture and production AI, not just talk about them.
• Career growth. Grow with the team as it scales, with room to take on more ownership and leadership.
• Mentorship. Work directly with an experienced team lead who's invested in your development.

Salary & Benefits

• Competitive salary
• Full medical, dental, life and disability insurance plans that can be tailored to your specific needs and the needs of your family
• Ample paid vacation and holiday
• A competitive 401(k) retirement savings program matched by Power
• Subsidized child care and fertility benefits
• Paid parental leave
• All the tech you need - We'll pay for whatever hardware and software you need to work and make sure you're regularly upgraded to the latest versions
• Personal development - Personal development courses, books, & conferences.
• Paid parental leave - When the time comes to welcome a new member of the family, we offer paid parental leave.

Power Home Remodeling Group is an equal opportunity employer, and we are committed to hiring a diverse and talented workforce. If you have a disability or special need that requires accommodation, please submit the accommodation request to [e-mail]