R&D Integrations Engineer — Lab Data Pipelines

Dormont Manufacturing Co; New York (NY); Hybrid; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and equity

Health and dental insurance

401(k) with employer contribution

Direct mentorship and fast career growth

Job summary

Dormont Manufacturing Co is seeking a scientifically-minded software engineer to join their Implementations Engineering team. In this hybrid role, you will build production-grade software that connects Uncountable’s platform to R&D lab instruments and systems.

Your responsibilities will include writing Python scripts, designing data pipelines, and working directly with customers to deliver solutions that significantly impact their workflows. The ideal candidate will have a strong programming background and knowledge of chemistry, materials science, or biology.

Qualifications

• Comfort writing Python or another scripting language to process data files.
• Meaningful knowledge of chemistry, materials science, biology, or a related life/physical science.
• Genuine curiosity about software engineering and how technology can transform scientific workflows.

Responsibilities

• Build data integrations that ingest outputs from lab instruments into Uncountable’s platform.
• Design and implement automated data transfer pipelines that connect customer systems to Uncountable.
• Write Python scripts and tooling to parse, validate, and transform scientific data files.

Skills

Programming experience

Scientific background

Problem-solving mindset

Education

B.S. in Computer Science or related field

Tools

APIs (REST)

SQL databases

Excel/CSV data pipelines

Job description

Dormont Manufacturing Co is seeking a scientifically-minded software engineer to join their Implementations Engineering team. In this hybrid role, you will build production-grade software that connects Uncountable’s platform to R&D lab instruments and systems.

Your responsibilities will include writing Python scripts, designing data pipelines, and working directly with customers to deliver solutions that significantly impact their workflows. The ideal candidate will have a strong programming background and knowledge of chemistry, materials science, or biology.