Databricks
A data and AI platform built around Apache Spark and the lakehouse architecture, used for large-scale data engineering and model training.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 6 of 47companies naming it
- open roles naming it
- 8open roles naming it
- of those based in NYC
- 5of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What Databricks means
Databricks combines data lake storage with warehouse-style querying and adds managed tooling for machine learning. It is common in larger enterprises and is often what a startup’s customers run. Databricks’ own postings are excluded from this count.
Databricks in New York job posts
6 of the 47 New York AI companies we track name Databricks in at least one open role today, across 8 postings. 5 of those are based in New York; the rest are remote or in the companies’ other offices.
Engineering roles make up 50% of the postings that name it, with the rest spread across other functions.
How to read it
In startup postings it appears in data engineering and also in product and customer-facing roles, where the job includes working inside a client’s Databricks environment.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Databricks before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.
Companies naming Databricks, daily
Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 7 |
| 2026-08-18 | 6 |
| 2026-08-19 | 6 |
| 2026-08-20 | 6 |
| 2026-08-21 | 6 |
| 2026-08-22 | 7 |
| 2026-08-23 | 7 |
| 2026-08-24 | 7 |
| 2026-08-25 | 7 |
| 2026-08-26 | 6 |
| 2026-08-27 | 5 |
| 2026-08-28 | 5 |
| 2026-08-29 | 5 |
| 2026-08-30 | 5 |
| 2026-08-31 | 5 |
| 2026-09-01 | 4 |
| 2026-09-02 | 4 |
| 2026-09-03 | 4 |
| 2026-09-04 | 4 |
| 2026-09-05 | 4 |
| 2026-09-06 | 4 |
| 2026-09-07 | 4 |
| 2026-09-08 | 4 |
| 2026-09-09 | 4 |
| 2026-09-10 | 4 |
| 2026-09-11 | 4 |
| 2026-09-12 | 4 |
| 2026-09-13 | 4 |
| 2026-09-14 | 4 |
| 2026-09-15 | 5 |
| 2026-09-16 | 5 |
| 2026-09-17 | 5 |
| 2026-09-18 | 6 |
| 2026-09-19 | 6 |
| 2026-09-20 | 6 |
Who names it
Open roles naming Databricks, by company.
- Spade3
- Andela1
- H11
- Headway1
- Invisible Technologies1
- Preql1
Which roles
The same postings, by function and by seniority.
- Engineering4
- Product2
- GTM1
- Research1
- Mid5
- Senior2
- Staff/Principal1
Named alongside Databricks
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 6 companies pair the two.
Open roles naming Databricks
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.
- Backend Engineer (Mid-Level) ↗Spade · New York, NY
- Data Engineer II- Life Sciences ↗H1 · New York
- Senior Data Product Owner ↗Invisible Technologies · New York - Hybrid
- Staff Data Infrastructure Engineer ↗Headway · New York, NY
- AI Solutions Manager ↗Andela · North America
- Forward Deployed Engineer, Finance Solutions ↗Preql · Remote
- Product Performance Analyst ↗Spade · New York, NY
- Data Scientist - AI/ML (Mid & Sr Levels) ↗Spade · Remote (US/Canada)
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.
Databricks — common questions
What does Databricks mean in an AI job posting?
A data and AI platform built around Apache Spark and the lakehouse architecture, used for large-scale data engineering and model training. In startup postings it appears in data engineering and also in product and customer-facing roles, where the job includes working inside a client’s Databricks environment.
How many New York AI companies are hiring for Databricks?
As of September 20, 2026, 6 of the 47 New York AI companies we track name Databricks in the description of at least one open role, across 8 postings (5 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Databricks pay in New York?
We do not publish a pay figure for Databricks yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.
Which skills are asked for alongside Databricks?
In the same postings, the terms most distinctively paired with Databricks are BigQuery, dbt, Apache Airflow, Snowflake, Data pipelines. 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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