U.S. Tech Jobs Could See Growth in Q1 2026, Toptal Data Suggests
New Toptal data suggests U.S. tech hiring may begin to stabilize in Q1 2026, with remote and specialized roles leading a cautious recovery.
New Toptal data suggests U.S. tech hiring may begin to stabilize in Q1 2026, with remote and specialized roles leading a cautious recovery.
This guide curates 50+ free, well-documented datasets that support realistic data science projects suitable for portfolios, practice, and interviews.
As US tech hiring tightens, Finland is using fast-track visas and lifestyle stability to actively recruit AI, data, and engineering talent from abroad.
While return-to-office mandates haven’t triggered mass resignations, tech companies are increasingly prioritizing visible, measurable productivity over physical presence.
Despite a sharp decline in overall tech hiring, Indeed data shows data science roles remain comparatively resilient due to their direct business impact and specialized skill requirements.
How much you make as a data consultant depends on the location, experience, and the company. Several bonuses also contribute significantly to determining your total compensation and salary, along with factors like big data consulting rates.
Sai Pranav shares how consistent SQL and data interview practice on Interview Query helped him transition from data analyst roles to a BI Engineer position at Amazon.
Amazon’s use of badge-tracking dashboards shows how return-to-office mandates are shifting from policy guidelines to measurable performance signals.
Rising productivity is allowing companies to do more with fewer workers, leaving hiring slow and highly selective even as job postings remain plentiful.
Despite a surge in job applications since 2022, LinkedIn data shows AI-driven hiring has widened the gap between overwhelmed recruiters and invisible candidates.
As AI becomes embedded across tech stacks, hiring data shows companies increasingly favor specialized, AI-adjacent skills over broad generalist roles.
Gallup’s latest survey reveals a widening disconnect between employees rapidly adopting AI and leaders who remain cautious or disengaged.