Time-Series Data Engineer

Local Candidates Only – No Sponsorship

A growing technology company in the Warrington, PA area is seeking a Data Engineer to join its analytics and machine learning team. This is a hands-on, engineering-focused role working with real operational time-series data—not a dashboard or BI-heavy position. We’re looking for someone who’s naturally curious, self-driven, and enjoys taking ownership. If you like solving real-world problems, building clean and reliable data systems, and contributing ideas that actually get implemented, you’ll enjoy this environment.

About the Role

You will work directly with internal engineering teams to build and support production data pipelines, deploy Python-based analytics and ML components, and work with high-volume time-series data from complex systems. This is a hybrid position requiring regular on-site collaboration.

What You’ll Do

• Build and maintain data pipelines for time-series and operational datasets
• Deploy Python and SQL-based data processing components using cloud resources
• Troubleshoot issues, optimize performance, and support new customer implementations
• Document deployment workflows and data behaviors
• Work with engineering / domain specialists to identify opportunities for improvement
• Proactively correct inefficiencies—if something can work better, you take the initiative

Required Qualifications

Local + Work Authorization Requirements (Strict)

These requirements are firm and help ensure strong team collaboration.

What’s Offered

If This Sounds Like You

We’d love to hear from local candidates who are excited about Python, data engineering, and solving real-world problems with time-series data.

Work Authorization :

Applicants must have valid, independent authorization to work in the United States. This position does not offer, support, or accept any form of sponsorship—whether employer, third-party, future, contingent, transfer, or otherwise. Candidates must be able to work for any employer in the U.S. without current or future sponsorship of any kind. Work authorization will be verified, and misrepresentation will result in immediate removal from consideration.