---
title: 'Data Engineer at Qualitate'
canonical: 'https://feeny.ai/job/data-engineer-qualitate-new-york-vszm7dksgye2'
type: 'job'
last_seen: '2026-10-13'
---

# Data Engineer at Qualitate

- **Company:** Qualitate
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/qualitate/8e6a8c89-f4f4-4af9-bc66-4889e500b674

## Job description

## About Qualitate

Qualitate is building the AI-native continuous intelligence platform for enterprises, investment firms, and asset managers. We automate the entire primary research workflow, from study design and expert recruitment through AI-moderated interviews and insight synthesis, replacing weeks of manual research with high output signal in hours. Primary research remains slow and transactional for everyone involved. Investment and corporate strategy teams spend hundreds of hours coordinating intermediaries, scheduling calls, and synthesizing fragmented insights. Experts face repetitive outreach, screener calls, schedule wrangling, and one-off engagements that offer them little control or lasting value. Qualitate transforms this experience with an AI-native expert network platform that gives participants the flexibility to contribute on their own time while enabling research at unprecedented scale. Qualitate’s AI Moderator conducts thousands of conversations with experts each month, capturing forward-looking purchasing plans, competitive displacement, and real-time ROI signals. Our continuous intelligence platform then turns these conversations into quantified, time-series outputs tracking over 10,000 public and private companies, queryable instantly in natural language. Our customers include some of the world's largest enterprises, hedge funds, PE firms, credit investors, and venture capital firms.

## The Role

Qualitate is building the primary research layer for investors and corporate strategy teams. Our AI interviews experts, turns those conversations into structured intelligence, and delivers it to the funds and companies acting on it. Next, we're turning that into an always-on intelligence platform. Customers will bring their own proprietary data alongside ours, and AI agents will run research workflows end to end. All of that runs on data, and as our first dedicated Data Engineer, you'll own it. You'll build the pipelines that feed our AI moderator, the models that turn thousands of expert conversations into structured, searchable insights, and the systems that will let customers plug their own data into Qualitate. You'll work closely with Applied AI, Market Research, and Engineering, but the architecture decisions are yours. Our clients make investment decisions on this data, so accuracy isn't a feature. It's the product. You'll set that bar and shape how data works at Qualitate for years to come.

## What You’ll Own

- Build and maintain data pipelines. Design ETL/ELT processes that ingest unstructured data, quantitative metrics, 3rd party datasets into our core systems.
- Design data models and data systems. Build and evolve data models across relational and non-relational systems. You'll work with structured application data in relational databases alongside unstructured data stored in S3 and indexed in semantic search engines.
- Build AI-powered data enrichment pipelines. Use LLMs and other AI systems to extract structured information from unstructured data, classify and enrich records, and integrate AI-generated outputs into reliable production data workflows and evaluation systems.
- Own data quality end-to-end. Build automated QA checks, monitoring, and alerting to catch anomalies before they become client-facing problems.
- Partner cross-functionally. Work directly with Research, Applied AI, and Engineering to define schemas, data contracts, and reporting needs as new features are shipped.
- Document as you build. Maintain clear data lineage, schema documentation, and runbooks — you're building the systems, so you're setting the data foundation of the company.

Who This Role Is For

- You're strong in SQL. You can write complex, performant queries against relational datasets and understand how to reason about data at scale.
- You're a capable software engineer. You have experience with either TypeScript or Python and can write production-quality code for automation, data pipelines, integrations, and internal tooling.
- You can build robust data integrations. You can work with APIs, databases, files, and other external data sources and build reliable ingestion processes around authentication, pagination, rate limits, incremental extraction, retries, schema changes, and error handling.
- Research and integrate third-party datasets. Research and evaluate company identifiers, entity-matching strategies, corporate hierarchies, subsidiaries, acquisitions, and build reliable processes to map and reconcile these entities across different data sources.
- You can work across different types of data. You're comfortable with structured, semi-structured, and unstructured data and understand the tradeoffs between relational databases, object storage, search/indexing systems, and analytical data stores.
- You'll work with our current stack and help shape what comes next. You will help maintain our TypeScript pipelines running on scheduled jobs and Postgres-native queues, S3 for object storage, and AWS Bedrock for retrieval. Experience with a modern warehouse and transformation stack (e.g. Snowflake/BigQuery, dbt, Airflow) is a plus.
- You're comfortable with ambiguity. Early-stage data infrastructure is messy — you're energized by building order out of that, not frustrated by it.

What Sets You Apart

- Prior experience in data engineering for a technology startup, ideally in fintech
- You've been early on the engineering team at a company and helped build the function from scratch — not just used tools others built.
- Exposure to LLM-driven data pipelines (labeling, moderation, quality scoring) is a strong plus.
- You've worked in market research, expert networks, or financial services and understand the data integrity bar those industries demand.

## Compensation & Benefits

- Base salary: $170-200K depending on experience.
- Bonus: Eligible for cash bonus tied to individual and company performance
- Equity: Meaningful early-stage grant with upside tied to company growth.
- Benefits: Health coverage, flexible PTO, paid holidays.
- Location: Full-time, in-person in New York City.

What to Expect Working at Qualitate

- Excellence. You'll be held accountable to an exceptionally high bar for quality and impact.
- High velocity. Fast-paced work environment in terms of growth, decision making, and time to impact.
- High agency. Ownership over how you work, not just what you work on. We hire people we trust to figure it out.
- Shared ambition. A small, early team disrupting the multi-billion dollar market research industry with AI.
- Joy. We work hard and genuinely enjoy working with each other. Dedication to our work is matched only by our passion for fostering an enjoyable, collaborative work environment.

## About Qualitate

## Company Overview
- **One-liner**: Qualitate is an AI-powered expert intelligence platform that automates primary research for investment firms and enterprises.
- **Entity Type**: Private (seed stage; raised $7M)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024
- **Founders**: Sagar Kadakia (CEO & Founder)

## Core Business
- **Primary industry/industries**: AI-native primary research, expert networks, market intelligence
- **Target customers**: B2B – investment firms (hedge funds, credit funds, private equity), financial services, and enterprise strategy teams
- **Mission or purpose statement**: “Equipping every company with the world’s most valuable asset: expert intelligence.”

## Products & Services
- **AI Moderator**: An AI agent that autonomously conducts structured interviews with verified experts, from study design to moderation and insight creation.
- **Continuous Market Intelligence**: Dashboards that track company momentum, competitive threats, and market signals through 350,000+ minutes of expert conversations, analyst research, and curated data.
- **AI Analyst**: An AI-powered assistant that can answer questions, generate executive briefings, and launch custom surveys across the intelligence library.
- **Compliance Suite**: Automatic MNPI and PII screening, firm-level access controls, and a dedicated compliance portal for regulated environments.
- **Custom Research (Diligence, Win/Loss, Channel Checks)**: On-demand, AI-facilitated primary studies delivered in under a week (typically 5 days).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding – $7M seed round (announced in 2025)
- **Notable Investors/Partners**: Not publicly named (listed only as “World-Class Investors”)
- **Growth Signals**:
  - 25 employees as of mid-2025 with 12% monthly headcount growth (LinkedIn)
  - Proprietary data engine trained on 350,000+ minutes of expert discussions
  - Coverage of 500+ companies and 10,000+ technology markets
  - Trusted by “the world’s largest investment funds and corporations”

## Competitive Advantages
- **Vertically integrated**: Owns the expert panel, moderation, and analysis stack – no third-party dependencies or handoff gaps.
- **Proprietary data engine**: The AI moderator improves with every interview on the platform, creating a data moat that third-party networks cannot replicate.
- **Compliance-first design**: Built for sensitive environments with automated screening and firm-level controls.
- **Speed**: Custom research projects delivered in ~5 days versus the traditional multi-week timeline.

## Strategic Focus
Qualitate is focused on replacing fragmented, multi-vendor primary research workflows with a single AI-native platform. The company is scaling its AI moderator capability to run hundreds of interviews per project, moving from qualitative “outlier opinions” to quantitative, time-series market signals. Growth priorities include deepening coverage across financial services and enterprise verticals, and expanding the engineering and intelligence operations teams.

## Why Work Here
- **Culture**: Highly collaborative, fast-shipping environment with “big ambition” – described as building a new category of primary research.
- **Work Model**: On-site in New York City (all current open roles are listed as “OnSite”).
- **Team Composition**: Small but growing (25 people) with heavy influence from top expert networks (GLG, AlphaSights, CB Insights) and data companies (YipitData, Gartner).
- **Impact**: Every team member directly shapes the mission; roles span engineering, intelligence operations, sales, and product design.
- **Current openings**: Staff Software Engineer, Founding Head of Talent, multiple Account Executives (Enterprise, Financial Services, Hedge Funds, Credit Funds), and Intelligence Operations Associate – all New York City based.

## Sources
1. [qualitate.io](https://qualitate.io/)
2. [qualitate.io/about-us](https://qualitate.io/about-us)
3. [qualitate.io/careers](https://qualitate.io/careers)
4. [qualitate.io/product](https://qualitate.io/product)
5. [linkedin.com/company/qualitate-io](https://www.linkedin.com/company/qualitate-io)

## Other roles at Qualitate

- [Senior Software Engineer - Real Time Systems](https://feeny.ai/job/senior-software-engineer-real-time-systems-qualitate-new-york-0drcqnw1fcc2) — New York, NY
- [Account Executive - Private Equity](https://feeny.ai/job/account-executive-private-equity-qualitate-new-york-p1gmemh8ehfq) — New York, NY
- [Founding Sales Development Representative  (SDR)](https://feeny.ai/job/founding-sales-development-representative-sdr-qualitate-new-york-7wbny47jc35z) — New York, NY
- [Founding GTM Recruiter](https://feeny.ai/job/founding-gtm-recruiter-qualitate-new-york-vpz1jgxp6ez2) — New York, NY
- [Data Operations Associate](https://feeny.ai/job/data-operations-associate-qualitate-new-york-289tbf3wv8vz) — New York, NY
- [Growth Marketer](https://feeny.ai/job/growth-marketer-qualitate-new-york-s3py84dr43kv) — New York, NY
- [RevOps Manager](https://feeny.ai/job/revops-manager-qualitate-new-york-3zrapz2sp0ye) — New York, NY
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-qualitate-new-york-dtf8wc8bew7f) — New York, NY
- [Senior Applied AI Engineer](https://feeny.ai/job/senior-applied-ai-engineer-qualitate-new-york-2acnt7vf4xxf) — New York, NY
- [Research Analyst - Generalist](https://feeny.ai/job/research-analyst-generalist-qualitate-new-york-9z9aq9wx0zfx) — New York, NY