Staff Data Engineer

Overview

We’re dedicated to speeding up the pace of innovation at manufacturing companies by automating product regulatory compliance. That frees up product and engineering teams to focus on building great products in automotive, aerospace, construction, medicine and healthcare, and more.

We’re a small, focused team, and we’re proud to be supporting the development of products used by over 100 million people worldwide. We’ve raised over $6M from IA Ventures, 8VC, and other institutional investors.

Our Mission

At Daptic, we’re building an AI platform to accelerate product development at manufacturing companies. We do that by creating NLP pipelines that identify all regulations that are relevant to any product in development, such as an electric battery or the latest level-4 autonomous driving system.

As engineers, reading complex legal and regulatory documents are often the last things we want to do. What we’re building means that teams can stop poring over 1000-page PDFs via Google Translate and can instead focus entirely on building the best systems that the world needs today.

In short, what you build with us will directly lead to companies launching physical products months faster than before.

Role

Daptic is seeking an experienced Staff Data Engineer to drive the development of our data and ML systems.

The ideal candidate has strong experience building and launching products in a startup environment. You are ready to work with new technologies and learn whatever is needed to solve the challenges we will face. You will operate across our backend and internal services, collaborating closely with our data and ML engineers to design, implement, and maintain scalable and performant systems.

We are based out of NYC, in-person, with flexibility for remote work at times. If you are not currently in NYC, we would ask you to plan to move to the city in the next few months.

Responsibilities

• Collaborate closely with Data/ML and internal stakeholders to build performant, scalable systems that can be rapidly deployed for iteration

• Lead the team in selecting the appropriate technology stack, framework, and tools for each initiative

• Own the architecture and development of the working system and beyond

• Strategize and articulate tradeoffs between speed and scalability based on the scope of the problem and the business need

Qualifications

• Bachelors or Masters in Computer Science, Engineering, or other related field

• 6+ years of professional development experience, Staff Engineer/Tech Lead/Technical Founder experience

• Strong, well-rounded technical skillset with experience managing the end-to-end development of a new product in a fast-growth organization—ready to tackle any part of the process and comfortable with starting from a problem instead of a full specification

• Expertise in Python

• Demonstrated proficiency with relational databases and microservice architecture

• Experience deploying applications with AWS and Docker

• Excellent communication skills and low ego

• US work authorization is required; we do not currently support visa transfers

Nice to haves

• Experience with NoSQL and vector databases

• Interest in Generative AI/LLMs—will work closely with our Machine Learning engineers to deliver AI-powered workflows

• Leadership experience

Contact

Want to hear more? Please reach out to careers@daptic.com