Company lists · Data refreshed September 2026
Top 25 Data engineers based in the United States
RevenueBase identified 174 data engineers headquartered in the United States as of September 2026 and tracks 10,014 professional contacts across them, including 1,866 with verified work emails. New York is the largest hub.
This list covers data engineers headquartered in the 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 19, 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 25 largest data engineers based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 7,436 contacts → | ||||
Strong evidence “NASDAQ: INOD) Innodata is a global data engineering company.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 2 | 382 contacts → | ||||
Indirect evidence “Genpact acquired Enquero on Jan.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 3 | 251 contacts → | ||||
Strong evidence “Bilvantis: Data to Decisions, Redefining Enterprise Success Bilvantis Technologies, a global leader in data and AI engineering, empowers enterprises to unleash the full potential…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 4 | 173 contacts → | ||||
Strong evidence “C2S Technologies is a Data, AI, and Cloud Engineering company helping enterprises activate operational data for real-time analytics, AI, and business intelligence.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 5 | 135 contacts → | ||||
Indirect evidence “Pentaho powers seamless integration, governed pipelines, real-time insights, and built-in compliance-so you can activate AI faster and move ahead with confidence.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 6 | 134 contacts → | ||||
Strong evidence “Saturam is a global & fast-growing Augmented Data Engineering company operated by experienced leaders and experts in Big-DataOps and Machine Learning.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 7 | 123 contacts → | ||||
Partial evidence “Data Management by EXL specializes in Enterprise Data Management, Data Integration and Business Intelligence (BI).” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 8 | 86 contacts → | ||||
Partial evidence “Nexla is an enterprise-grade, AI-powered data integration platform for agents that unlocks data from any source and transforms it into production-ready data products for AI and…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 9 | 69 contacts → | ||||
Strong evidence “Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available from 300+ connectors for insights on warehouse powered by…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 10 | 59 contacts → | ||||
Indirect evidence “SAS2PY – Automated workload Migration SAS to Python, Pandas, PySpark, Databricks, Streamsets and more ETL from Teradata, DB2, Oracle to Snowflake, BigQuery and more” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 11 | 51 contacts → | ||||
Strong evidence “Explore Digits Inc mission is to enable customers get insights from data applying effective Data Engineering and Data Science solutions.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 12 | 45 contacts → | ||||
Strong evidence “Dataplatr specializes in data engineering & analytics with pre-built data models for Enterprise Applications like SAP, Oracle EBS, Workday, Salesforce to empower businesses to…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 13 | 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 19, 2026Thanks. The Data Team will review it. | |||||
| 14 | 35 contacts → | ||||
Partial evidence “Anvizent is the first generative data pipeline platform.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 15 | 29 contacts → | ||||
Strong evidence “Datafold is the data engineering automation platform.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 16 | 26 contacts → | ||||
Strong evidence “Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 17 | 25 contacts → | ||||
Strong evidence “Ascend.io is on a mission to make data engineering delightful.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 18 | 24 contacts → | ||||
Partial evidence “Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 19 | 22 contacts → | ||||
Strong evidence “We have over 15 years of experience providing data engineering, analytics, and reporting solutions in both large and small environments.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 20 | 21 contacts → | ||||
Partial evidence “We Are A Team Of Engineers, Designers, Thinkers, Product Managers, Problem Solvers combining the best talent and technology in the world to deliver the market’s best comprehensive…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 21 | 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 19, 2026Thanks. The Data Team will review it. | |||||
| 22 | 19 contacts → | ||||
Strong evidence “Born out of Pivotal Labs and Pivotal Data, Enfuse.io was formed to establish a new era of data engineering.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 23 | 19 contacts → | ||||
Partial evidence “Most businesses today depend on digital platforms, and the data they generate, for their growth and competitive edge.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 24 | 18 contacts → | ||||
Partial evidence “Reactor is the fastest, most efficient path to useful data models ready for generative AI, analytics and activation.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 25 | 17 contacts → | ||||
Partial evidence “Modern data platforms that actually deliver business results.” Source: RevenueBase Database · checked Sep 19, 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 engineers. 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 engineers.
- Partial evidence
- Its own public description names part of data engineers, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name data engineers. 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 25 of 174 data engineers based in the United States
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Data engineers based in the United States at a glance
As of Sep 19, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 174 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 engineers, 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 the United States whose own description of what they do matches “data engineers”. 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 engineers), 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 engineers, and records with no verified work email. Companies headquartered outside United States 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, 1,866 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 19, 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.
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 engineers, 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 engineers are there based in the United States?
RevenueBase identified 174 data engineers headquartered in the 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?
Innodata INC, headquartered in Ridgefield Park, tops this list with the largest team on record.
Which city has the most data engineers?
New York leads with 14 headquartered companies, followed by San Francisco (14) and Atlanta (4).
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 1,866 verified decision-maker contacts tracked across these 174 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 19, 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.