Time-Series Data Engineer (Doylestown)

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 datanot a dashboard or BI-heavy position. Were looking for someone whos 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, youll 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 Youll 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 inefficienciesif something can work better, you take the initiative

Required Qualifications

2+ years of professional experience in data engineering, data science, ML engineering, or a related field

Strong Python and SQL skills

Experience with time-series data or operational / industrial datasets (preferred)

Exposure to cloud environments; Azure experience is a plus but not required

Ability to think independently, problem-solve, and build solutions with minimal oversight

Strong communication skills and attention to detail

Local + Work Authorization Requirements (Strict)

Must currently live within daily commuting distance of Warrington, PA (Philadelphia suburbs / Montgomery County / Bucks County / surrounding PA / NJ areas)

No relocation, no remote-only applicants

No sponsorshipmust be authorized to work in the U.S. now and in the future

These requirements are firm and help ensure strong team collaboration.

Whats Offered

Competitive salary + bonus potential

Health insurance and paid time off

Hybrid work flexibility

Opportunity to grow, innovate, and have a direct impact on meaningful technical work

Supportive, engineering-first culture

If This Sounds Like You

Wed 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 sponsorshipwhether 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.