| title | Job Market Pulse |
|---|---|
| emoji | 📊 |
| colorFrom | blue |
| colorTo | indigo |
| sdk | docker |
| pinned | false |
🗓️ Jul 08 2026 · Pipeline run #42 · 4,620 total records
| 🏆 Top Stack | 💰 Highest Paying | 🌐 Most Remote-Friendly |
|---|---|---|
| Python — 27,973 listings | AWS — $186k avg | SQL — 24% remote |
Top 5 demand ranking (latest run):
| Rank | Stack | Listings | Demand Score |
|---|---|---|---|
| 🥇 | Python | 27,973 | 38.0/100 |
| 🥈 | AWS | 22,641 | 30.7/100 |
| 🥉 | SQL | 18,854 | 25.6/100 |
| 4️⃣ | Azure | 11,589 | 15.7/100 |
| 5️⃣ | Tableau | 5,960 | 8.1/100 |
Auto-updated daily by GitHub Actions · Powered by Adzuna API
Daily tracking of tech job demand, salaries & remote trends across 10 tech stacks × 10 US cities + remote — from API ingestion to a live Streamlit dashboard. Refreshed automatically once a day via GitHub Actions. Zero manual steps after deploy.
"Built an end-to-end market intelligence pipeline: API → transform → DuckDB → visualize → automate. 10 stacks. 11 locations. $0 infrastructure cost."
Live Demo → HuggingFace Spaces
🏆 Hero & KPI Cards
📊 Demand Ranking
📈 Demand Trend Over Time
🌐 Remote Friendliness by Stack
💰 Salary Intelligence
🗺️ City Heatmap — Stack × City
| Dimension | Detail |
|---|---|
| Tech stacks | Python · SQL · Tableau · Power BI · dbt · Spark · Airflow · Snowflake · AWS · Azure |
| Cities | New York · LA · Chicago · SF · Seattle · Austin · Boston · Denver · Atlanta · Dallas + Remote |
| Metrics | Job count · Demand score · Salary avg/min/max · Remote % · Salary disclosure rate |
| Cadence | Daily at 7:00 AM PST via GitHub Actions |
Adzuna API ──► extract.py ──► transform.py ──► load.py
│
DuckDB file
│
┌───────────────────────────────────┤
│ │
HuggingFace Dataset GitHub Actions
(persistent storage) (daily cron)
│
HuggingFace Space
(Streamlit dashboard)
Key design decision: DuckDB file lives on a HuggingFace Dataset — downloaded before each run, updated after. Zero database hosting cost, full history preserved indefinitely.
demand_score = (stack_count - min_count) / (max_count - min_count) × 100
Normalized per run so stacks are always comparable regardless of absolute count differences. Python = 100 baseline.
| Rank | Stack | Jobs | Avg Salary | Remote % |
|---|---|---|---|---|
| #1 | Python | 27,764 | $137k | 31% |
| #2 | AWS | 21,999 | $187k | 13% |
| #3 | SQL | 19,472 | $142k | 25% |
| #4 | Azure | 13,424 | $150k | 21% |
| #10 | dbt | 1,712 | $128k | 12% |
New York dominates every single stack. Python + SQL most remote-friendly. Airflow & dbt most niche.
Python · DuckDB · Streamlit · Plotly · GitHub Actions · HuggingFace Spaces · Docker · Adzuna API
Data from Adzuna · Updated daily · Built by Evgenii Matveev