Data Engineer — AI-Driven Research Platform (NYC)

Crew Capital

New York (NY)

On-site

USD 170,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Health coverage
Flexible PTO
Paid holidays

Job summary

Qualitate, in New York City, is seeking a Data Engineer to own data pipelines, models, and AI-enabled enrichment. You will collaborate with Applied AI, Market Research, and Engineering to shape scalable data workflows and contribute to an always-on intelligence platform.

You'll build robust integrations across APIs and databases, manage data quality end-to-end, and help define schemas and data contracts. This role anchors data architecture for an AI-driven research platform that supports major

Qualifications

  • Strong SQL with complex, performant queries and scale reasoning.
  • Experience in TypeScript or Python for production-grade code.
  • Experience building robust data integrations via APIs, databases and files.
  • Research and integrate third-party datasets and entity matching.
  • Comfort with structured, semi-structured and unstructured data.
  • Experience with modern data stack (Snowflake/BigQuery, dbt, Airflow).
  • Able to work in early-stage data infra and drive order from ambiguity.

Responsibilities

  • Build and maintain data pipelines; design ETL/ELT processes.
  • Design data models across relational and non-relational systems.
  • Build AI-powered data enrichment pipelines from unstructured data.
  • Own data quality end-to-end with automated QA and monitoring.
  • Partner cross-functionally with Research, Applied AI and Engineering.
  • Document data lineage, schemas, and runbooks for data foundation.

Skills

SQL
TypeScript
Python
Data integrations
APIs
Data modeling
Data quality
ETL/ELT

Tools

PostgreSQL
Snowflake/BigQuery
dbt
Airflow
AWS Bedrock
S3

Job description

Qualitate, in New York City, is seeking a Data Engineer to own data pipelines, models, and AI-enabled enrichment. You will collaborate with Applied AI, Market Research, and Engineering to shape scalable data workflows and contribute to an always-on intelligence platform.

You'll build robust integrations across APIs and databases, manage data quality end-to-end, and help define schemas and data contracts. This role anchors data architecture for an AI-driven research platform that supports major

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