9 часов назад
Data Integration Specialist (AI)
250 000 - 450 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Integration Specialist (AI): Building and maintaining scalable pipelines that ingest, clean, link, and integrate large multimodal datasets for AI-driven population simulations with an accent on entity resolution, schema harmonization, and data quality. Focus on processing high-volume data across APIs, cloud storage, and warehouses, designing reliable integration workflows, and identifying risks in fragmented or noisy datasets.
Location: New York City metropolitan area; in-person, five days a week in the office. Candidates must be located in the area or be open to relocation.
Salary: $250K–$450K annually, plus equity.
Company
develops AI agents that simulate human behavior and populations to help organizations improve strategic positioning, audience understanding, messaging, pricing, and customer intelligence.
What you will do
- Build and maintain scalable pipelines for ingesting, cleaning, and integrating large multimodal datasets.
- Own data ingestion across APIs, flat files, cloud storage, and data warehouses.
- Design workflows for linkage, entity resolution, deduplication, and schema harmonization.
- Collaborate with engineering, research, and deployment teams to make integrated data usable for simulation ingestion.
- Establish data quality checks, validation logic, and documentation across datasets and pipelines.
- Evaluate new data sources and determine how they can be joined with existing data assets.
Requirements
- 3+ years of experience in data integration, data engineering, ETL/ELT, or a similar large-scale data role.
- Hands-on experience with messy, high-volume datasets exceeding 100 TB.
- Strong SQL and Python skills.
- Experience with modern data infrastructure such as Snowflake, BigQuery, Databricks, or similar tools.
- Strong judgment around data quality, inconsistencies, edge cases, and integration risks.
- Ability to work in the New York City office five days a week, or willingness to relocate.
Nice to have
- Experience with alternative data such as transaction, clickstream, or geospatial data.
- Experience building matching or entity-resolution systems across fragmented or noisy identifiers.
- Knowledge of privacy, compliance, and data licensing for sensitive or third-party data.
- Experience turning disjoint data sources into accessible structured databases with research or product teams.
- Background in statistics, sampling bias, bot detection, imputation, and data quality metrics.
Culture & Benefits
- Small, mission-driven team with high ownership, trust, urgency, and intellectual honesty.
- Competitive base salary and equity participation.
- Comprehensive medical, vision, and dental coverage.
- Visa sponsorship and relocation support are available.
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