Data Engineer Jobs at Top Tech Companies
Last updated: January 4, 2026
50,000++
$85K-$216K
growing
< 5 min
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[01] Hiring momentum
Who's hiring data engineers right now
Companies with software engineering postings in the last 90 days, ranked by how many jobs they posted in the last 30.
Posted 30d counts every job the company listed in the last 30 days across all roles; the surge badge compares its software engineering postings against its own 90-day baseline.
[02] Compensation
Data Engineer salary, level by level
Most companies level data engineers on the Software Engineer ladder — figures below are Software Engineer-family medians across 91 companies.
Each figure is the median of company-level p50s (base salary and total compensation, USD). Company ladder codes that can't be compared across companies (L4, IC3, ...) are excluded. 4,094 reported data points in total.
[03] Response time
Fastest to respond
Among companies hiring software engineering roles, the fastest median time from application to first recruiter screen — measured from real applications sent through Scoutify.
Medians are company-wide (all roles), so treat them as how quickly each recruiting org moves, not a per-role guarantee.
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Data engineering forms the backbone of data-driven organizations. As a data engineer, you'll build and maintain data pipelines, data warehouses, and infrastructure that enables analytics and machine learning.
Why Pursue a Career as a Data Engineer?
- 1Strong job market with thousands of open positions at top companies
- 2Competitive compensation ranging from $85K to $216K+ at senior levels
- 3Opportunity to work at industry-leading companies like Google, Meta, and innovative startups
- 4Remote and hybrid work options widely available
- 5Clear career progression path from junior to senior and leadership roles
- 6Continuous learning and skill development opportunities
How to Land a Data Engineer Job
1. Build a strong foundation
Master the core skills required for data engineer roles. Focus on data engineer, Data Engineer, Data Platform Engineer, and related technologies.
2. Gain practical experience
Build projects that demonstrate your skills. Contribute to open source, complete personal projects, or freelance. For data engineer roles, having a portfolio of work is often more valuable than credentials alone.
3. Optimize your application timing
Apply to jobs within the first few hours of posting. Early applicants are significantly more likely to get interviews. Use Scoutify to get instant alerts when data engineer positions open at top companies.
4. Network strategically
Connect with professionals in data engineer roles on LinkedIn. Attend tech meetups, conferences, and join online communities.
5. Prepare for interviews
Practice technical interviews and behavioral questions specific to data engineer roles. Use platforms like LeetCode, mock interviews, and study common interview patterns.
Data Engineer Jobs by Experience Level
Whether you're just starting out or looking for senior positions, we track data engineer jobs at all levels:
Remote and Location-Based Data Engineer Jobs
Remote Data Engineer Jobs
Many top companies offer fully remote data engineer positions. Get alerts for remote-friendly openings.
Tech Hub Data Engineer Jobs
Find data engineer jobs in San Francisco, New York, Seattle, Austin, and other major tech hubs.
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