Data Engineer

About the Role We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you. Responsibilities - Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs. Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies. - Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs. - Collaborate with product and ML teams to make data discoverable, queryable, and actionable. - Optimize data collection for performance, reliability, and scalability. Requirements - Strong proficiency in Python and Jupyter notebooks . - Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs. - Solid understanding of data structures and algorithms (DSA). - Comfort with quick, hands-on analytics — slicing and validating data directly. Good to Have - Experience with schema design and database modeling . - Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus. - Knowledge of data orchestration tools ( Dagster preferred). - Understanding of data lifecycle management — from raw to enriched layers. Why Join Us We’re not offering employment — we’re offering ownership. If you’re here for a job, this isn’t your place. We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work. You’ll have room to think, build, break, and reinvent — not follow. If you thrive in chaos and create clarity, you’ll fit right in. Screening Challenge Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name] Link - https://dub.sh/slooze-takehome