How to advertise to data engineers
To advertise to data engineers, be where they read every day: daily.dev Ads, Data Engineering Weekly, r/dataengineering and Coalesce. daily.dev gives you a verified company page they follow and puts your posts and releases in the feed of developers who read #data-engineering, #sql and #postgresql, plus the Data and Databases newsletter, in one plan we run for you.
One plan, built around your company page: we put it in front of data engineers across daily.dev and report on it every week.
Who are the data engineers on daily.dev?
What they read, where it comes from, and what else they follow: the signals a campaign is targeted on.
The tags that reach them
Target any mix; your plan runs the campaign on them.
- #data-engineering
- #sql
- #postgresql
- #database
- #data-science
- #python
800+ targetable keywords in all (daily.dev Media Kit 2.0, August 2026 — targeting).
Where data engineers get their news
The sources that publish most on these tags, ranked by followers on daily.dev.
- 1
freeCodeCamp
- 2
PostgreSQL
- 3
Hackaday
- 4
scopespace
- 5
Hacker News
- 6
Tech With Tim
What they also read
Tags on the same recent posts, as a share of them. Worth adding to a campaign.
- #ai-agents7%
- #apache-iceberg6%
- #llm5%
- #security4%
- #machine-learning4%
- #duckdb3%
Tags, sources and co-reading: daily.dev public API snapshot.
How do you reach data engineers?
Developers are the audience that taught the industry to block ads. The way in is not a louder interruption; it is the reading they chose, in the place they open every day. That is why daily.dev Ads exists: to help brands earn a place in that reading, week after week.
- 13K+
- companies whose developers read daily.dev
- 800+
- targetable stacks and topics
- 2,000+
- content sources in the feed
Written by the daily.dev Ads team, which plans and runs every campaign on the platform. Sources on the audience overview.
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Show the query plan, the pipeline and the backfill.
Data engineers judge a tool by what it does to a workload they recognise. Publish real queries, real DAGs and real cost lines on your company page, and they come back for the next one.
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Postgres is where most teams start. Say where you fit.
Position against the default honestly: what you replace, what you add to it, and when a team should not use you. That candour is what earns a follow from this audience.
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Reliability is the story, not speed alone.
Idempotency, backfills, lineage and the on-call that went quiet are what data engineers forward to their team. Publish those stories first, then talk about speed.
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Treat data for AI as a data problem.
Embeddings, retrieval and vector storage are infrastructure questions to this audience. Write about them that way, for readers of #database and #data-science as well as #rag.
“The biggest standout was the engagement quality. That’s the kind of result that gets attention internally, because it suggests the message is landing with the right audience.”

Why do developers pay attention on daily.dev?
Michael on reaching developers by adding value and showing your culture rather than selling: authenticity cannot be manufactured, and it is what earns attention.
More from the team: the developer marketing series →
What do data engineers read, and what should your brand say?
A few things they read and discuss
Examples of popular posts on these tags that data engineers read and talk about on daily.dev. Open any of them to join the conversation.
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AI Row Count Estimates Come From Nothing
SQL Authority 5 33
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They All Write, Store, and Read Data: How to Pick The Right Database
MotherDuck 2 11
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Google Cloud: Investing in the future of PostgreSQL — 2026 highlights
Google Open Source Blog 2 7
-
DuckDB Skills for Claude Code
DuckDB 1 17
-
Build anything: Supabase from code, and an MCP server for your app
Supabase 1 17
Each post opens on daily.dev with its discussion.
What that means for your message
Your takeaways from what they discuss. Our team writes the creative with you.
- Postgres for everything Publish what you replace or add to Postgres, with the query plan to back it
- Pipeline reliability Share the backfills, the idempotency work and the on-call that went quiet, with the pipeline you ran
- Data for AI Write about embeddings and retrieval as a data problem, from the storage up
How do you target data engineers on daily.dev?
Targeting is built on what developers read on daily.dev, not a self-declared profile. You set it once with your campaign manager; your plan runs it, and we optimise it every week.
- Tags
- #data-engineering, #sql, #postgresql, #database, #data-science, #python, and any of the 800+ targetable keywords
- Seniority
- Junior, mid-level, senior and leadership, from on-platform activity
- Region
- Global, or by region and country
- In your plan
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- Your verified company page
- Your posts in their feed
- The Data and Databases newsletter
- Your logo on the daily.dev homepage
- A weekly report and a campaign manager
- Creative
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Our team works with you to shape, finish and test your creative, so it reads like the posts around it.
Creative specs for every placement
Pick a size
Same work in every size. The size sets your reach.
Explore my options →Prices are quoted per company. See how plans work →
Where else can you reach data engineers?
Where data engineers can be reached with paid media, and what each channel is good at. Most teams combine two or three; a plan here is the always-on part.
| Channel | Format | Target by stack | How you buy | Best for |
|---|---|---|---|---|
| | Your verified company page, your posts in their feed, the newsletter they chose, the homepage | Yes: data tags, seniority, region | Managed monthly plan | Building a brand developers follow, every week, with creative and reporting done for you |
| Data newsletters (Data Engineering Weekly, Data Elixir) | One sponsor slot per issue | By list topic | Per issue | Launch-week spikes |
| Reddit (r/dataengineering) | Promoted posts | By subreddit and interest | Self-serve | Discussion and feedback |
| LinkedIn Ads | Sponsored posts and message ads | By job title, company and self-declared skills | Self-serve | Reaching managers and buyers by title |
| Data conferences (Data + AI Summit, Coalesce) | Booths and talks | By event | Sponsorship packages | Enterprise relationships |
| Community Slacks (dbt, Airflow) | Organic participation | By community | Organic | Support and credibility |
| Stack Overflow Ads | Display units beside questions | By tag | Direct sales | Reaching developers mid-task |
Compare daily.dev with
- Format
- Your verified company page, your posts in their feed, the newsletter they chose, the homepage One sponsor slot per issuePromoted postsSponsored posts and message adsBooths and talksOrganic participationDisplay units beside questions
- Target by stack
- Yes: data tags, seniority, region By list topicBy subreddit and interestBy job title, company and self-declared skillsBy eventBy communityBy tag
- How you buy
- Managed monthly plan Per issueSelf-serveSelf-serveSponsorship packagesOrganicDirect sales
- Best for
- Building a brand developers follow, every week, with creative and reporting done for you Launch-week spikesDiscussion and feedbackReaching managers and buyers by titleEnterprise relationshipsSupport and credibilityReaching developers mid-task
Channel facts from each channel's own public pages, October 2026. Prices are not compared.
What do teams build with data engineers on daily.dev?
Build your brand with them
Show up every day in the reading data engineers chose, with your posts, releases and point of view, so yours is the name they know when they pick a tool.
Grow a community around your product
Your verified company page is where data engineers follow you, discuss your posts and come back for your next release.
Strengthen your employer brand
Share engineering stories, culture and open roles with data engineers where they already discover tools and ideas.
Brands building with developers on daily.dev
Brands building with developers on daily.dev
Google, AWS, Google Cloud, Cursor, Vanta, Zoho, Atlassian, Notion, Okta, Sentry, Datadog, JetBrains, Postman, Snyk, ClickHouse, Edge Impulse, RevenueCat, QA Wolf, TigerData, PostHog, LaunchDarkly, Neo4j, Temporal, Sonar, Appwrite, dbt Labs, Retool, Pulumi, CodeRabbit, Windsurf, OpenRouter, Bright Data, Stream, Postmark, Novu, context.dev
Guides on reaching data engineers
- How to reach data engineers and ML practitioners
- How to market database and data infrastructure products
- Target developers by programming language: a marketer’s guide
- Tech stack targeting: reaching developers by the tools they use
- Best developer advertising platforms
- Developer marketing platforms compared: the channel mix
All guides: developer marketing resources →
Advertising to data engineers: your questions
Pick a plan. We reach
data engineers for you.
Tell us what you sell and the regions you need. We come back with a plan size, the reach it buys and a quote.
Other audiences: Python developers AI engineers DevOps engineers All audiences →