Data Infrastructure Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-09-30, Skillenai has indexed 29 job postings with the title “Data Infrastructure Engineer” over the past 90 days. The skill mentioned most often is Python.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Data Infrastructure Engineer jobs
+How many Data Infrastructure Engineer jobs are being posted in 2026?
Skillenai has indexed 29 job postings with the title “Data Infrastructure Engineer” over the 90 days ending 2026-09-30.
+What skills do Data Infrastructure Engineer jobs require?
Across Data Infrastructure Engineer postings indexed by Skillenai over the 90 days ending 2026-09-30, the skills mentioned most often are Python, data pipelines, AWS, Kafka, ETL.
+Which cities are hiring the most Data Infrastructure Engineer?
As of 2026-09-30, Data Infrastructure Engineer postings indexed by Skillenai are concentrated in San Francisco, Tel Aviv, New York City, Redwood City, San Mateo.
+Is Data Infrastructure Engineer a good career path right now?
Skillenai indexes 29 Data Infrastructure Engineer postings over the 90 days ending 2026-09-30. The skill mentioned most often in Data Infrastructure Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new Data Infrastructure Engineer job postings as they’re indexed?
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+What roles do people move into and out of Data Infrastructure Engineer?
The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.
Weekly indexed Data Infrastructure Engineer postings — last 90 days
Career paths through Data Infrastructure Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
5 employer moves kept the same role.
Roles before Data Infrastructure Engineer
Roles after Data Infrastructure Engineer
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
Same role means a change of employer while keeping the same role. Counts are moves, not distinct people, promotions, or your chances of making a particular move.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Data Infrastructure Engineer (different employer) | 5 |
| Before: Software Engineer | 1 |
| Before: Data Scientist | 1 |
| Before: Operations Analyst | 1 |
| Before: Cloud Software Engineer | 1 |
| Before: Program Manager | 1 |
| Before: Project Coordinator | 1 |
| Before: Supervisor | 1 |
| After: Data Infrastructure Engineer (different employer) | 5 |
| After: Data Engineering Intern | 1 |
| After: Quality Engineer | 1 |
| After: Field Test Engineer | 1 |
| After: Software Consultant | 1 |
Skills most often required for Data Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 19 | 65.5% |
| data pipelines | 10 | 34.5% |
| AWS | 9 | 31.0% |
| Kafka | 9 | 31.0% |
| ETL | 8 | 27.6% |
| Terraform | 8 | 27.6% |
| Airflow | 8 | 27.6% |
| SQL | 7 | 24.1% |
| Go | 7 | 24.1% |
| Kubernetes | 6 | 20.7% |
| DBT | 6 | 20.7% |
| Distributed systems | 6 | 20.7% |
| Databricks | 6 | 20.7% |
| Snowflake | 6 | 20.7% |
| Spark | 5 | 17.2% |
Top companies posting Data Infrastructure Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Decagon | 3 |
| Zammler | 2 |
| Harrison Clarke | 1 |
| Yumaai | 1 |
| Verne Robotics | 1 |
| XPeng | 1 |
| Lemonade | 1 |
| Axonius | 1 |
| Sezzle | 1 |
| Town | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring Data Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 8 | 27.6% |
| Tel Aviv | 3 | 10.3% |
| New York City | 2 | 6.9% |
| Redwood City | 2 | 6.9% |
| San Mateo | 2 | 6.9% |
| Cambridge | 1 | 3.4% |
| Lehi | 1 | 3.4% |
| Los Angeles | 1 | 3.4% |
| Mountain View | 1 | 3.4% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30, matching postings whose canonical role is “Data Infrastructure Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). An adjusted trend is not shown because comparable posting coverage is insufficient.
- role
- Data Infrastructure Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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