2 months ago
Base Salary
$170k - $200k/yr
Responsibilities
- Build and maintain ETL/ELT pipelines ingesting unstructured data, quantitative metrics, and third-party datasets.
- Design and evolve data models and systems across relational databases, S3 object storage, semantic search engines, and analytical data stores.
- Build AI-powered enrichment pipelines that extract, classify, and enrich information from unstructured data and integrate outputs into reliable production workflows.
- Own data quality through automated QA checks, monitoring, and alerting.
- Partner with Research, Applied AI, and Engineering on schemas, data contracts, and reporting needs.
- Research and integrate third-party datasets, including entity matching, corporate hierarchies, subsidiaries, acquisitions, and cross-source reconciliation.
- Maintain data lineage, schema documentation, and operational runbooks.
Requirements
- Strong SQL skills, including complex and performant queries against relational datasets.
- Production-quality software engineering experience with TypeScript or Python.
- Experience building reliable integrations with APIs, databases, files, and external data sources, including authentication, pagination, rate limits, incremental extraction, retries, schema changes, and error handling.
- Ability to work with structured, semi-structured, and unstructured data across relational databases, object storage, search systems, and analytical data stores.
- Experience with TypeScript pipelines, scheduled jobs, Postgres-native queues, S3, and AWS Bedrock, or ability to work effectively with the current stack.
- Prior data engineering experience at a technology startup, ideally in fintech, is preferred.
- Experience helping build an engineering function from scratch is preferred.
- Exposure to LLM-driven data pipelines such as labeling, moderation, or quality scoring is preferred.
- Experience in market research, expert networks, or financial services is preferred.
- Experience with Snowflake, BigQuery, dbt, or Airflow is a plus.
Benefits
- Health coverage, flexible paid time off, and paid holidays.
- Eligible for a performance-based cash bonus and meaningful early-stage equity grant.
- Full-time, in-person role in New York City.
Tech Stack
Categories
Data Engineering
About Qualitate
Qualitate builds an AI-native expert intelligence platform for investment and corporate strategy teams, automating primary research from expert recruitment to AI‑moderated interviews and insight synthesis. It sells enterprise subscriptions and research services spanning moderated calls, transcript libraries, analyst research, and market and company intelligence. Founded in 2024 and headquartered in New York, its platform tracks over 10,000 public and private companies for clients including large enterprises, hedge funds, and private capital firms.