stats — Demo

Weekly volume — last 13 weeks

886

Jun 8

Jun 15

Jun 22

Jun 29

Jul 6

Jul 13

Jul 20

Jul 27

Aug 3

Aug 10

Aug 17

Aug 24

71 · 1

Aug 31

evaluated matched ≥ 6.9

table view

week of	evaluated	matched	match rate
Jun 8	595	34	6%
Jun 15	581	25	4%
Jun 22	624	31	5%
Jun 29	525	25	5%
Jul 6	571	31	5%
Jul 13	478	22	5%
Jul 20	465	30	6%
Jul 27	554	28	5%
Aug 3	575	32	6%
Aug 10	533	30	6%
Aug 17	382	18	5%
Aug 24	886	42	5%
Aug 31	71	1	1%

Salary distribution — matched postings with pay (125 of 986)

60–80k

80–100k

44

100–120k

120–140k

140–160k

160–180k

180–200k

200–220k

220–240k

240–260k

260–280k

p25$100k

median$113k

p75$133k

$118k sr

$110k other

senior-tier — median $118k (63) · other levels — median $110k (62). Yearly-normalized midpoints of the posted ranges (hourly ×2080). Range $72k–$275k; currencies mixed as posted (CAD/USD).

Repeat-match companies (≥ 2 matches)

RBC 52 · avg 8.0

TD 47 · avg 7.9

Scotiabank 34 · avg 7.8

Konrad Group 15 · avg 7.7

Capgemini 14 · avg 7.9

Insight Global 13 · avg 7.9

Hays 13 · avg 7.8

Realign 12 · avg 8.4

Tata Consultancy Services 12 · avg 8.3

CI Financial 11 · avg 7.9

Manulife 11 · avg 7.9

Synechron 10 · avg 7.8

Verdicts across matches

Lateral 576 · 57%

Title Regression 254 · 25%

Step Up 132 · 13%

Pivot 45 · 4%

unknown 6 · 1%

Top matched job titles

Data Engineer 986 · 431 sr · avg 7.9

Software Engineer 172 · 102 sr · avg 7.6

Analytics Engineer 84 · 32 sr · avg 8.0

Azure Data Engineer 70 · 9 sr · avg 7.7

Data Scientist 61 · 21 sr · avg 7.5

Data Analyst 59 · 13 sr · avg 7.5

Aws Data Engineer 52 · 8 sr · avg 8.0

Consultant En Livraison Infrastructure Cloud Delivery Consultant Cloud Infrastructure Professional Services Canada 47 · 0 sr · avg 8.3

Platform Engineer 42 · 12 sr · avg 7.6

Big Data Developer 41 · 0 sr · avg 7.6

Cloud Engineer 38 · 16 sr · avg 7.4

Data Platform Engineer 37 · 17 sr · avg 7.7

Seniority variants (senior / lead / staff / II…) fold into one family; = senior-tier postings, = other levels. Click a title or chip to narrow every section to it.

Common gaps flagged by the evaluator — Data Engineer

azure 134

aws 121

databricks 102

exceed 82

one 77

expectations 75

leadership 59

cloud 52

mid 46

far 43

lower 39

gcp 35

domain 33

implied 28

From the evaluator's "key gap" note per job — themes, not a strict ranking; your own stack can appear as contrast.

Application funnel

Applied 12 · 100%

Screen 4 · 33%

Interview 2 · 17%

Offer 1 · 8%

What happened to them

In process 4 · 33%

Awaiting reply 0 · 0%

Ghosted 5 · 42%

Rejected 2 · 17%

Offer 1 · 8%

Stages are cumulative — an interview also counts in screen. In process = screen/interview underway; awaiting reply = applied < 21 days ago; ghosted = 21+ days with no reply.