Qualitate
Data Engineer
$200K
New York City · Hybrid · Full-time · Posted Sep 23, 2026
About the job
Own Qualitate’s data infrastructure, building pipelines and models that turn expert conversations and customer data into reliable, searchable intelligence for AI-powered research workflows.
What you'll do
- Build and maintain ingestion pipelines and data models for structured, semi-structured, and unstructured data.
- Develop AI-powered enrichment workflows and automated data quality monitoring, checks, and alerts.
- Partner across Research, Applied AI, and Engineering on data contracts, schemas, documentation, and reporting.
What they ask for
- Strong SQL skills, including complex, performant queries against relational datasets.
- Experience with either TypeScript or Python and ability to write production-quality code.
- Ability to build reliable integrations with APIs, databases, files, and other external data sources.
- Comfort working with diverse data types and the tradeoffs among relational databases, object storage, search/indexing systems, and analytical data stores.
Nice to have
- Experience with a modern warehouse and transformation stack, such as Snowflake/BigQuery, dbt, or Airflow.
- Data engineering in a technology startup, early engineering-team experience, exposure to LLM-driven data pipelines, or experience in market research, expert networks, or financial services.
Pay
USD $170-200K base salary
Tools
SQL, TypeScript, Python, Postgres, S3, AWS Bedrock, Snowflake/BigQuery, dbt
AI focus
Build AI-powered data enrichment pipelines using LLMs and other AI systems to extract, classify, and enrich information, and integrate AI outputs into production workflows and evaluation systems.
Model-written summary · the original posting is authoritative