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Posts dated August 2024 to September 2026

Pandas posts with salary details

7 job posts mention Pandas and include salary information.

A post can mention several technologies. These figures describe advertised starting amounts, not what employees were paid.

SALARY AMOUNTS COMPARED
7

Fewer than 30 usable salary amounts are available. Check the individual advertised ranges and currencies below.

Posts with salary details

7

Source-post dates

Aug 2024 to Sep 2026

Coverage

Public HN “Who is Hiring” posts that include salary details

What salary details are stated?

How specific are the advertised salary amounts?

Each post is grouped by the salary details extracted from it: a range, one exact amount, a minimum, or values that could not form a usable range. Extraction can miss details, so check the original post.

Salary details by stated currency
CurrencyRecordsTwo-sidedExactMinimum onlyInvalid
USD66000
GBP11000

Original pay evidence

Advertised offer bands

Each panel has a separate scale in the source currency. A band shows its stated lower and upper amounts; a marker shows a minimum with no upper amount. Pay period is not preserved in the listing record. These are historical advertisements, not confirmed current vacancies.

USD advertised bands. Scale covers known endpoints from 70,000 to 375,000.
RoleCompanyNative offer bandBand position, USDPost dateRemote markSource
Quantitative Researcher Amplify RenewablesUSD 200,000–375,000Sep 2026Marked remoteView source post
Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer Neo.TaxUSD 190,000–210,000Jun 2026Marked remoteView source post
Lead Python Developer CommunityScaleUSD 85,000–125,000Oct 2025Marked remoteView source post
Senior Software Engineer CareignitionUSD 100,000–200,000Mar 2025Marked remoteView source post
Multiple Roles martini.aiUSD 70,000–180,000Sep 2024Marked remoteView source post
Data Wrangler CAPPUSD 70,000–90,000Aug 2024Marked remoteView source post
GBP advertised bands. Scale covers known endpoints from 70,000 to 100,000.
RoleCompanyNative offer bandBand position, GBPPost dateRemote markSource
Founding ML/Data Engineer myDataValueGBP 70,000–100,000Jun 2026Marked remoteView source post

In these posts

What stands out in Pandas posts

Counts are based on posts naming this technology. A post may describe multiple openings; its role-level label applies to the post, not necessarily each opening.

Most represented company

Amplify Renewables

1 of 7 posts

7 distinct company names in these posts

Most common other technology tag

Python

Also tagged in 7 of 7 posts

Role level recorded on the post

Mid3
Lead2
Senior2

Other technologies named together

How Pandas posts overlap with other technologies

Each row counts posts naming that technology; a post can appear in more than one row. Salary figures are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay.

Technology names, post counts, approximate advertised-minimum estimates, and overlap with Pandas posts
TechnologyPosts naming this technologyComparable estimatesMedian estimateMiddle halfPosts also naming PandasFirst and last post
Pandas These posts77Not shownNot shown7Aug 2024 to Sep 2026
Python375375$150k$110k to $170k7Jun 2024 to Oct 2026
AWS281281$150k$115k to $175k2Jun 2024 to Oct 2026

Approximate annualized USD estimates of advertised minimums are shown only when there are at least 30 comparable posts. “Not shown” means fewer than 30.

Starting-salary history

Advertised minimums over time

Each dot is one post’s approximate USD estimate of its advertised minimum, linked to the source post. The chart shows up to the 120 newest comparable estimates, from Aug 2024 to Sep 2026; older months remain in the table, so a missing dot does not mean there were no posts. Monthly summaries appear only with at least 30 comparable estimates. Values are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay. They use a common comparison basis, not historical exchange rates or inflation. The mix of companies, recorded role levels, and currencies can change month to month.

Approximate annualized USD estimates of advertised minimums by source-post date Individual linked post floors appear as dots. Eligible month summaries show the p25 to p75 interval and a median mark. The vertical axis is approximate USD and begins at zero. Months without a valid point have no dot. 0k54k108k162k216k Source-post dateApproximate annualized USD estimate Aug 24Oct 25 Aug 2024 · 70,000 approximate USD floor · source post 41132150Sep 2024 · 70,000 approximate USD floor · source post 41427292Mar 2025 · 100,000 approximate USD floor · source post 43374225Oct 2025 · 85,000 approximate USD floor · source post 45583517Jun 2026 · 190,000 approximate USD floor · source post 48362254Jun 2026 · 92,543 approximate USD floor · source post 48367909Sep 2026 · 200,000 approximate USD floor · source post 49526311 Aug 2024Sep 2026
Individual post, links to sourceMonthly middle-half range and median, shown with at least 30 comparable estimates
Monthly post counts and salary estimates
Monthly source-post counts and valid approximate USD advertised-minimum counts. Statistics are shown only when monthly valid sample size is at least 30.
MonthSource postsComparable estimatesMedian estimateMiddle half
Aug 202411Not shownNot shown
Sep 202411Not shownNot shown
Mar 202511Not shownNot shown
Oct 202511Not shownNot shown
Jun 202622Not shownNot shown
Sep 202611Not shownNot shown
Exact values for the 7 plotted source posts
Exact approximate USD floor value and date for each plotted source listing
DateApproximate annualized USD estimateSource
Aug 202470,000Post 41132150
Sep 202470,000Post 41427292
Mar 2025100,000Post 43374225
Oct 202585,000Post 45583517
Jun 2026190,000Post 48362254
Jun 202692,543Post 48367909
Sep 2026200,000Post 49526311

Other technologies named together

Which other technologies appeared in these posts?

For each month, this lists the three most-mentioned other technologies and how many posts named each one. A post can mention several technologies, so these counts overlap and do not add up to the number of posts.

Monthly counts for the most common other technology tags, with each month’s source-post denominator
MonthPosts that monthOther technologies named
Aug 20241
Python1 / 1
Sep 20241
AWS1 / 1
Python1 / 1
Mar 20251
Django1 / 1
Python1 / 1
Oct 20251
Python1 / 1
Jun 20262
Python2 / 2
AWS1 / 2
Django1 / 2
Sep 20261
Python1 / 1

Role level and remote wording

Which role levels appear under each remote label?

Role levels are the labels recorded for each post, including Unknown. “Not marked remote” does not confirm an onsite workplace. A post may describe several openings.

Mid

3 posts

Marked remote 3

Not marked remote 0

Lead

2 posts

Marked remote 2

Not marked remote 0

Senior

2 posts

Marked remote 2

Not marked remote 0

Technology names per post

How many technologies are listed together?

Each post is counted once, according to how many distinct technology names it contains. This describes the post text, not required skills or role complexity.

3 tags1
4 tags1
6 tags1
9 tags1
10 tags1
14 tags1
21 tags1

Places mentioned in post text

Which places do these posts mention?

These bars compare city and nearby-area matches in this group with matches across all posts that state pay. Matches come from post text, not verified work locations. A post can match more than one place.

San Francisco

1 of 7 in this group
This group14.3%All posts with salary details325 of 1616 (20.1%)

New York

0 of 7 in this group
This group0.0%All posts with salary details330 of 1616 (20.4%)

London

1 of 7 in this group
This group14.3%All posts with salary details112 of 1616 (6.9%)

Berlin

0 of 7 in this group
This group0.0%All posts with salary details30 of 1616 (1.9%)

Location labels in these posts

Broad categories recorded for the posts

These broad labels do not confirm a specific city or where an employee lives.

  • Remote5
  • Europe1
  • United States1

Role level recorded on the posts

Posts grouped by recorded role level

Each group uses the role-level label recorded for the post. One post may describe several openings, so the label may not apply to every position in the advertisement.

Role titles in these posts

  • Data Wrangler1
  • Founding ML/Data Engineer1
  • Lead Python Developer1
  • Multiple Roles1
  • Quantitative Researcher1
  • Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer1
  • Senior Software Engineer1

Companies named in these posts

Other technologies named

Posts can name several technologies, so they may appear in more than one group.

Monthly source-post counts

Posting history

When the posts appeared

Monthly counts of matching source posts. This shows how many posts appeared, not salary growth or current vacancies.

Monthly counts of posts with salary details on this page
MonthPostsRelative volume
Aug 202411 posts
Sep 202411 posts
Mar 202511 posts
Oct 202511 posts
Jun 202622 posts
Sep 202611 posts

Full source listing

Posts mentioning Pandas

COMPANY ROLE SALARY VIBE STACK Actions
Amplify Renewables Quantitative Researcher
$200,000 - $375,000
[F] stable
Neo.Tax Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer
$190,000 - $210,000
[E] stable
Careignition Senior Software Engineer
$100,000 - $200,000
[F] grind
CommunityScale Lead Python Developer
$85,000 - $125,000
[E] grind
myDataValue Founding ML/Data Engineer
£70,000 - £100,000 ≈ $93k
[F] stable
Python Pandas Scikit Learn +6
martini.ai Multiple Roles
$70,000 - $180,000
[F] CRUNCH
Python Pandas React +3
CAPP Data Wrangler
$70,000 - $90,000
[E] grind
Python Pandas Excel
Data and method

Listings tagged with the normalized technology Pandas. These figures describe advertisements, not verified employee earnings or currently open jobs.

Dates of included posts
2024-08-01 to 2026-09-01
Posts used
7 listings; 7 valid salary-minimum observations
What we compare
Median annualized estimate of advertised salary minimums
Currency conversion
Approximate USD using ECB daily reference rates as of 2026-10-09.

Fewer than 30 usable salary amounts are available, so we do not show a group median. Check the individual offers instead.

2026 includes 3 listings and 3 usable amounts. Its median is withheld below 30 usable amounts. This year overlaps the full history; it is not an independent sample or evidence of a pay trend.

Source: Hacker News “Who is Hiring?”, aggregated by StartupJobList. Read the methodology and correction policy.

Data version for citation: 418da73b0deeaecd1988254149482f06bfade3fe8597da396399c8a652c6f373