Data Engineer

Shaped; New York (NY); Remote; USD 110,000 - 160,000; Full time

Job summary

Join a seed-stage start-up as a Data Engineer at Shaped, where you will design and optimize data infrastructure, crucial for our next-gen AI discovery engine. Your role will help shape not only the technology but also the product and culture of our team, originating from top tech companies.

Qualifications

• 6+ years experience in data engineering.
• Proficient in Python and data warehouse technologies.

Responsibilities

• Design and optimize Shaped's real-time and batch streaming infrastructure.
• Ingest customer data reliably into the AI discovery engine.

Skills

Python

Data Warehouses

DBT

Meltano

Airflow

Apache Flink

Job description

Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.

We’re a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We’re a remote team but have a small office in Brooklyn, New York.

Job Description

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be a founding engineer working to reliably ingest customer data (both with batch and real-time processing) into our our state-of-the-art AI discovery engine. As one of Shaped’s early employees you will help shape our product, culture and vision.

We’re excited to work with you. Come build the future of AI with us!

Qualifications

• 6+ years experience
• Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery)
• Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream processing frameworks)