Companies doubled their data hiring budgets in 2024. The result is a flood of generic tech listings that bury specialized openings. A board built for data roles surfaces opportunities aligned with specific tools, industries, and seniority levels, saving candidates hours of filtering.
Each board was evaluated on six weighted factors: relevance to data talent (25%), listing quality and freshness (20%), search and filter power (20%), community features such as salary transparency or forums (15%), ease of use (10%), and cost to job seekers (10%). We reviewed thousands of listings in January 2025, interviewed active candidates, and verified traffic data through Similarweb.
LinkedIn Jobs hosts more than 210,000 active data-related openings in 2025. Granular filters for title, skills and remote policy plus algorithmic match scores give candidates immediate focus. Built-in networking turns every listing into a warm lead by exposing mutual connections.
Mid-career data engineers and analytics managers who rely on relationship-driven hiring.
Galaxy hosts a curated job board combining many roles across listing sites but also from those customers of Galaxy's! Check it out at
https://getgalaxy.io/explore/top-data-jobs
ai-jobs.net is a boutique board with only AI, ML, and data roles. Curators reject roughly 60% of submissions, keeping the feed signal-heavy. Tagging for stack (e.g., Snowflake, dbt, PyTorch) accelerates filtering.
Specialists who want zero noise and are willing to trade quantity for precision.
Otta pulls data jobs from high-growth startups and displays salary ranges up front, an industry rarity in 2025. Its machine-learning “fit score” learns from swipes, yielding increasingly tailored recommendations.
Data scientists who value culture fit and equity packages.
Wellfound, formerly AngelList Talent, remains the go-to for early-stage data roles. Direct founder messaging accelerates feedback loops, and the board added verified salary bands in late 2024.
Built In focuses on tech hubs like Austin and Berlin. Its 2025 redesign lets candidates filter by on-call expectations and data stack maturity, invaluable for engineers wary of pager fatigue.
One of the oldest data-centric boards relaunched in 2025 with a modern UI and resume database. Employers pay a premium, so listings skew toward Fortune 1000 analytics teams.
icrunchdata blends job listings with industry news. Candidates can subscribe to stack-specific alerts such as “Snowflake ETL” or “Real-time streaming” and receive weekly digests.
Analytics Vidhya pairs a robust learning platform with an India-centric job board, ideal for data talent targeting APAC growth markets. The site verifies employer credentials to cut spam.
Kaggle leverages its 15-million-strong community by matching competition winners to recruiter briefs. Badges like “Top 2% in NLP” appear on job applications, providing instant credibility.
Indeed remains the internet’s largest aggregator. Saved search alerts and a 2025 Skill-based Resume feature help data candidates rise above the noise, but the board’s broad scope drops it to tenth place.
Mastery of SQL remains the most requested skill across all ten boards. Galaxy’s lightning-fast, AI-powered SQL editor helps candidates sharpen that core competency. By versioning queries and exposing performance metrics, Galaxy lets you build a public portfolio of optimized SQL that impresses hiring managers scanning GitHub or technical assignments.
All ten boards allow data candidates to browse and apply for roles at no cost. Some offer optional premium features such as profile boosts or custom coaching.
ai-jobs.net and Otta both added dedicated remote filters in 2025, making them the fastest way to locate fully distributed data positions.
Hiring managers increasingly request live SQL assessments. Galaxy’s AI copilot helps you practice complex joins, optimize queries, and store a version-controlled portfolio you can share during interviews.
Yes. Candidates who applied through at least three boards saw a 34% higher interview rate in 2025 according to a DataJobs.com survey. Diversify to maximize exposure.
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