Data pipelines (ETL)
The jobs that move data from where it is created to where it is used, cleaning and reshaping it on the way. Every AI system sits on top of one.
Hiring data as of November 4, 2026 · refreshed daily
- companies naming it
- 28 of 47companies naming it
- open roles naming it
- 88open roles naming it
- of those based in NYC
- 55of those based in NYC
- median posted base (n=46)
- $207kmedian posted base (n=46)
What Data pipelines means
A data pipeline extracts data from source systems, transforms it into a usable shape, and loads it somewhere it can be queried or fed to a model. ETL and ELT name the two common orderings of those steps. Orchestrators such as Airflow and Dagster schedule the work; tools such as dbt define the transformations.
AI projects fail on data more often than on models. A retrieval system is only as good as the documents that were ingested, and an agent acting on a stale or inconsistent record will be wrong with full confidence.
Data pipelines in New York job posts
28 of the 47 New York AI companies we track name Data pipelines in at least one open role today, across 88 postings. 55 of those are based in New York; the rest are remote or in the companies’ other offices.
This is engineering vocabulary: 78% of the postings that name it are Engineering roles.
How to read it
Named across a wide set of companies and not only in data-engineering roles: forward-deployed engineers, in particular, are expected to build the pipelines that connect a customer’s systems to the product. If you come from data engineering, this is the most direct bridge into an AI company.
What these roles pay
Midpoints of 46 distinct salary ranges posted on New York roles that name Data pipelines. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $216k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.
Companies naming Data pipelines, daily
Count of companies with at least one open role naming the term. We read between 46 and 47 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-09-20 | 30 |
| 2026-09-21 | 30 |
| 2026-09-22 | 30 |
| 2026-09-23 | 30 |
| 2026-09-24 | 30 |
| 2026-09-25 | 30 |
| 2026-09-26 | 30 |
| 2026-09-27 | 30 |
| 2026-09-28 | 30 |
| 2026-09-29 | 30 |
| 2026-09-30 | 30 |
| 2026-10-01 | 30 |
| 2026-10-02 | 30 |
| 2026-10-03 | 30 |
| 2026-10-04 | 30 |
| 2026-10-05 | 30 |
| 2026-10-06 | 30 |
| 2026-10-07 | 30 |
| 2026-10-08 | 29 |
| 2026-10-09 | 27 |
| 2026-10-10 | 27 |
| 2026-10-11 | 27 |
| 2026-10-12 | 27 |
| 2026-10-13 | 27 |
| 2026-10-14 | 27 |
| 2026-10-15 | 27 |
| 2026-10-16 | 27 |
| 2026-10-17 | 27 |
| 2026-10-18 | 27 |
| 2026-10-19 | 27 |
| 2026-10-20 | 27 |
| 2026-10-21 | 28 |
| 2026-10-22 | 26 |
| 2026-10-23 | 26 |
| 2026-10-24 | 26 |
| 2026-10-25 | 26 |
| 2026-10-26 | 26 |
| 2026-10-27 | 26 |
| 2026-10-28 | 27 |
| 2026-10-29 | 27 |
| 2026-10-30 | 28 |
| 2026-10-31 | 28 |
| 2026-11-01 | 28 |
| 2026-11-02 | 28 |
| 2026-11-03 | 28 |
| 2026-11-04 | 28 |
Who names it
Open roles naming Data pipelines, by company.
- AlphaSense13
- Invisible Technologies8
- ElevenLabs7
- H17
- Ramp6
- Alloy4
- Basis3
- Clay3
- Headway3
- Modal3
- Rogo3
- Runway3
Also: Tennr, Anterior, EliseAI, EvolutionIQ, Patlytics, Pinecone, Preql, Spade, April, Attentive, DataKind, Grow Therapy, Hebbia, Hume AI, K Health, Mirage (fka Captions).
Which roles
The same postings, by function and by seniority.
- Engineering69
- GTM6
- Research5
- Other3
- Product2
- Operations2
- Mid38
- Senior25
- Staff/Principal15
- Manager6
- Director3
- Entry1
Named alongside Data pipelines
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 28 companies pair the two.
- dbt 9
- Snowflake 7
- GCP 15
- Apache Kafka 6
- Azure 9
- SQL 17
- Kubernetes 8
- Python 21
- AWS 21
- Machine learning 20
Open roles naming Data pipelines
A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.
- Accounting Engineer ↗Clay · New York
- AI Engineer ↗Patlytics · New York
- AI Solutions Strategist ↗Ramp · New York, NY (HQ)
- Analytics Engineer ↗Modal · New York
- Applied AI Engineer (Full-Stack) ↗Pinecone · New York City
- Data Engineer ↗K Health · New York, NY
- Data Engineer ↗Tennr · New York City Office
- Data Engineer II- Life Sciences ↗H1 · New York
On the AI in NYC Show
- Episode 23: Your AI Is Broken Because Your Data Is
Gabi Steele, Preql
How this is counted
Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.
The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.
Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.
Data pipelines — common questions
What does Data pipelines mean in an AI job posting?
The jobs that move data from where it is created to where it is used, cleaning and reshaping it on the way. Every AI system sits on top of one. Named across a wide set of companies and not only in data-engineering roles: forward-deployed engineers, in particular, are expected to build the pipelines that connect a customer’s systems to the product. If you come from data engineering, this is the most direct bridge into an AI company.
How many New York AI companies are hiring for Data pipelines?
As of November 4, 2026, 28 of the 47 New York AI companies we track name Data pipelines in the description of at least one open role, across 88 postings (55 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Data pipelines pay in New York?
Across 46 distinct posted salary ranges on New York roles naming Data pipelines, the median midpoint is $207k base, with the middle half between $190k and $240k. The same figure for all New York engineering postings is $216k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.
Which skills are asked for alongside Data pipelines?
In the same postings, the terms most distinctively paired with Data pipelines are dbt, Snowflake, GCP, Apache Kafka, Azure. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.
Need someone who has actually shipped this?
A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.
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