r/dataengineering
A specialist community discussing warehouse, pipeline and orchestration decisions — a category where individual tool choices routinely carry six-figure annual costs.
What the numbers say
r/dataengineering sees a modest number of posts — about 6.5 a day — with real discussion on most posts. Moderate volume with substantive discussion, which is what you would expect from a technical specialism this narrow.
| Measure | r/dataengineering |
|---|---|
| Members | 471k |
| Created | 2015 |
| Posts per day | 6.5 |
| Median comments | 10 |
| Text posts | 82% |
| Accepts | Links and text |
| Rules total | 11 |
| Rules on promotion | 4 |
What these numbers mean and why subscriber count is the wrong one is explained on the directory hub.
Small audience, large deal sizes
The economics here are unlike anywhere else on this directory. The community is not large, but the decisions its members discuss — which warehouse, which orchestrator, whether to consolidate a stack — attach to budgets that make a single conversation worth more than a hundred elsewhere.
Threads comparing named vendors are common and are read carefully, including by people making the same decision months later through search. A well-argued, disclosed contribution to one of those threads has an unusually long half-life.
The audience is technical and sceptical in the same way r/devops is, with the added feature that many members have been burned by a vendor's pricing model and will say so at length. Honesty about your own limitations reads much better here than a feature list.
Promotion rules, in the moderators' own words
4 of r/dataengineering's 11 rules govern promotion, advertising or soliciting, quoted verbatim:
Limit self-promotion posts/comments to once a month
Self promotion: Any form of content designed to further an individual's or organization's goals. [We allow self promotion once per month](https://www.reddit.com/r/dataengineering/comments/1tip2yj/meta_post_promotion_and_ai_generated_text/) If one works for an organization this rule applies to all ac
No shill/opaque marketing
The primary function of this sub is not to help a company or individual promote, regardless if it is free or paid. If you work for a company/have any interest in the entity you are promoting, you must clearly state your relationship. For posts, you must distinguish the post with the Brand Affiliate
No recruiting, solicitation, or networking posts
Do not post: * Job advertisements * Requests for referrals * Requests for study partners or mentors * Best tester invites * Voucher offers * "Does anybody need this tool?" or "looking for feedback" type posts
No AI generated content/text
The wider community is not interested in reading AI generated posts asking for help or otherwise. [Posting heavily AI generated/assisted content/text into the subreddit is not allowed and will result in a permaban](https://www.reddit.com/r/dataengineering/comments/1tip2yj/meta_post_promotion_and_ai_
Snapshot only — check the live rules before posting.
When to post in r/dataengineering
Hours whose posts drew the most discussion, across the 100 most recent:
- 21:00 UTC (4pm ET / 1pm PT) — averaged 46 comments per post
- 12:00 UTC (7am ET / 4am PT) — averaged 34.2 comments per post
- 13:00 UTC (8am ET / 5am PT) — averaged 25.7 comments per post
A tie-breaker, not a rule — see why timing matters less than you would like.
Who should watch this subreddit
Data-infrastructure vendors, and consultancies selling implementation or migration work.
Related communities: r/devops, r/selfhosted, r/SaaS.
Frequently asked questions
Can you promote your business in r/dataengineering?
With disclosure, inside substantive technical discussion. Vendor comparison threads are common and vendors participating openly are generally tolerated; undisclosed promotion is not.
Is r/dataengineering good for finding leads?
Useful, but the promotion rules will catch you out. Low volume, but the purchasing decisions discussed carry unusually large budgets and long search lifespans.
How active is r/dataengineering?
About 6.5 posts a day from 471k members, with a median of 10 comments per post — real discussion on most posts.
Catch the r/dataengineering threads worth answering
Rules this specific are easier to respect when you are reading five posts a day instead of all of them. RedditScout filters first so you can spend the attention on the reply.
Get Started Free →Measured 2026-08-05. Check any other community on demand.