I am working with a YC-backed start up here in New York, who are looking to hire a Data Engineer within the team. They are looking for someone who can write data pipelines that reflect the customer business operations, ingest the customer data, transform it and get it ready for forecasting and then train it on the backend.
You will play a crucial role in building and maintaining their ETL infrastructure and pipelines, as well as optimizing ML systems.
Responsibilities
- Design and implement data pipelines across different customers
- Optimize Machine Learning pipelines for demand forecasting
- Assist on the backend with their mobile and web applications
- Work with your customers technical teams to integrate data and system implementations
- Work with your customers to gather requirements and implement solutions
Qualifications
- 5 years experience as a Software Engineer or Data Engineer
- Experience with writing data pipelines in Python and Pandas
- Experience in Palantir Technologies
- Professional experience in using Dagster or Airflow on a day to day basis
This role will be onsite in New York 5 days a week in Flat Iron and will pay a base salary plus equity.
