Company lists · Data refreshed September 2026
Top 24 Data engineering platform companies based in New York, United States
RevenueBase identified 65 data engineering platform companies headquartered in New York, United States as of September 2026 and tracks 6,249 professional contacts across them, including 1,243 with verified work emails. Across the United States, San Francisco is the largest hub for this category (101 companies); New York follows with 65.
This list covers data engineering platform companies headquartered in New York, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 24 largest data engineering platform companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 5,336 contacts → | ||||
Strong evidence “Ness Digital Engineering is a global provider of Intelligent Data and Software Engineering services, specializing in data, AI, and cloud-powered solutions that drive innovation…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 143 contacts → | ||||
Partial evidence “Archive360 is the AI-ready data control plane and governed AI execution layer for regulated enterprises.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 112 contacts → | ||||
Strong evidence “Aretove Technologies is a data focused company, headquartered in NYC, providing Software Services in Data Engineering, Enterprise Application Integration and Agentic AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 59 contacts → | ||||
Indirect evidence “Materialize is the live context layer for agents and apps.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 41 contacts → | ||||
Partial evidence “Boomi Data Integration (Formerly Rivery) makes it easy to build end-to-end ELT data pipelines quickly.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 39 contacts → | ||||
Strong evidence “For the past 15 years, we’ve been helping US companies scale their software and data engineering with dedicated teams of 3 to 15 developers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 32 contacts → | ||||
Partial evidence “Estuary helps organizations streamline their data integration for AI, analytics, and operational workflows without the constraints of a rigid architecture.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 30 contacts → | ||||
Strong evidence “Chord is the AI-native data platform for commerce built by operators, for operators.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 29 contacts → | ||||
Strong evidence “Datafold is the data engineering automation platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 26 contacts → | ||||
Partial evidence “Flume allows organizations to precisely understand, explore and integrate their massive, complex data estates.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 21 contacts → | ||||
Strong evidence “Rose AI is a cutting-edge cloud data platform that leverages generative AI to help users find, visualize, and share data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 20 contacts → | ||||
Strong evidence “At Inisoft, we are a dynamic Data Lifecycle Engineering and Artificial Intelligence Lab dedicated to guiding enterprises and startups through their digital transformation journey.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 17 contacts → | ||||
Strong evidence “Simon Data empowers marketing teams with the only Customer Data Platform (CDP) purpose-built to increase campaign performance through faster, more precise segmentation and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 17 contacts → | ||||
Partial evidence “Seemore Data is the leading autonomous AI-powered agent for the modern data cloud.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 17 contacts → | ||||
Strong evidence “Portable is the first ELT platform to build connectors on-demand for data teams.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 12 contacts → | ||||
Partial evidence “Discern helps B2B companies turn raw operational data into AI-ready business data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 10 contacts → | ||||
Strong evidence “Dataring: A no-code, AI-powered data workflow platform designed to help energy and climate tech professionals build a better world.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Partial evidence “Teams use Prequel to integrate directly with their customer's data warehouse.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Partial evidence “We build and run your entire data stack, so your team can ask AI real questions and trust what comes back, for a fraction of the cost of full-time hires.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Partial evidence “Push connects all company data, structured and unstructured, from data lakes, warehouses and business applications into a trusted layer that AI can query in natural language.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 contacts → | ||||
Indirect evidence “Nexusware is a pioneering no-code interoperability suite of solutions, committed to helping its clients streamline their processes, gain actionable insights, and accelerate their…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 4 contacts → | ||||
Strong evidence “We're a data engineering, AI and analytics studio helping organizations build the modern data stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 4 contacts → | ||||
Strong evidence “A modern data platform built for the data driving your business - the ParSearch Platform eliminates human inefficiency in source data processing and aggregation, freeing up…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 3 contacts → | ||||
Partial evidence “Twing Data uses the queries that are already running your data warehouse to build and maintain your data pipeline.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: data engineering platform companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names data engineering platform companies.
- Partial evidence
- Its own public description names part of data engineering platform companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name data engineering platform companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 24 of 65 data engineering platform companies based in New York, United States
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Data engineering platform companies based in New York, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for New York, so it is reported there. Company counts and contact totals on this page are exact for New York, over 65 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among data engineering platform companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in New York, United States whose own description of what they do matches “data engineering platform companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names data engineering platform companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among data engineering platform companies, and records with no verified work email. Companies headquartered outside New York are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 1,243 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 28, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Data engineering platform companies by metro in the United States
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names data engineering platform companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many data engineering platform companies are there based in New York, United States?
RevenueBase identified 65 data engineering platform companies headquartered in New York, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Ness Digital Engineering, headquartered in New York, tops this list with the largest team on record.
Which city in the United States has the most data engineering platform companies?
San Francisco leads the United States with 101 headquartered companies, followed by New York (65) and Chicago (23).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 1,243 verified decision-maker contacts tracked across these 65 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 28, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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