Senior Data Engineer
We are looking for an experienced Data Engineer to help us improve data quality, fix existing data issues, and ingest more data from APIs and LLM-based sources to complement our current datasets.
You’ll proactively turn ambiguous requirements into well-structured engineering plans. You’ll communicate trade-offs and risks early, and you’ll verify outcomes through hands-on testing. You’ll bring a “build, measure, improve” mindset to performance, reliability, and user experience.
- Leverage coding agents but also think through problems and review data independently of coding agents.
- Design, build, and maintain dbt pipelines for our analytics and operational workloads
- Build and maintain ETL/ELT processes to ingest data from multiple APIs and other external sources
- Set up and manage workflows in orchestration platforms such as Dagster
- Develop and refine data models to support analytics, reporting, and downstream products
- Diagnose and fix data quality issues (duplicates, missing fields, inconsistent formats, incorrect mappings, etc.)
- Implement robust data cleaning and validation checks
- Integrate LLM-based data enrichment (e.g., using OpenAI or similar APIs) to improve and complement event data
- Collaborate with our product and ops team to understand data needs and translate them into technical solutions
Requirements:
- At least 2 years of experience working with US based companies.
- Very high English proficiency (clear communication, strong writing, and the ability to collaborate effectively)
- At least 4 years of data engineering experience including experience with dbt and the modern data stack
- Product and user orientated.
- At least 12 months of experience working exclusively in an agentic coding environment (e.g., Claude Code, Codex)
- We provide a 100-200 USD Stipend for coding agents.
- High ownership of the codebase and the product