Role Description We are looking for a Data Engineer to join our team and help build an AI-powered data ingestion platform. The platform collects data from multiple sources and loads it into analytical databases that power our B2B analytics product, BevGenie, where users can interact with their data using natural language. In this role, you will work closely with a senior data engineer and use AI coding assistants (Claude Code) to build, improve, and maintain production-grade data pipelines. You will be responsible for extracting, cleaning, transforming, and loading data from both structured and unstructured sources. - Design, build, and maintain scalable data ingestion pipelines - Extract data from websites, APIs, documents (PDFs), emails, and databases - Parse, clean, and transform structured and unstructured data - Implement data validation, quality checks, and error handling - Handle missing, duplicate, and malformed data - Ensure pipelines are reliable and idempotent - Orchestrate workflows using Dagster or similar tools - Load data into PostgreSQL, Supabase, Snowflake, and MongoDB - Collaborate with senior engineers and cross-functional teams Qualifications - 3–5 years of experience in Python-based development or data engineering - Strong Python fundamentals (functions, classes, logging, error handling) - Experience working with APIs and common data formats (JSON, CSV, XML) - Strong SQL skills including joins, aggregations, CTEs, and window functions - Understanding of relational database concepts, schema design, and indexing - Basic knowledge of web scraping and data extraction techniques - Familiarity with handling structured and unstructured data - Understanding of data quality, validation, and pipeline reliability - Good problem-solving and analytical skills - Strong communication and collaboration skills - Willingness to learn new tools and technologies Requirements - Experience with Dagster, Airflow, or Prefect - Experience with web scraping tools (BeautifulSoup, Scrapy, Playwright) - Experience with PDF extraction tools - Exposure to AWS services (S3, Lambda, Glue) - Knowledge of dimensional modeling or analytics data modeling - Any experience using AI/LLMs for data extraction Benefits - Work closely with and learn from a senior data engineer - Hands-on experience building real production data pipelines - Exposure to modern AI-assisted development workflows - Opportunity to work with diverse data sources and technologies - Remote-first and flexible work environment - Competitive compensation - High-impact role in a growing product-focused team