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Home / Compensation / LinkedIn / Data Engineer
Total compensation for a LinkedIn Data Engineer ranges from about $168K at the entry level to $1.2M+ at the most senior bands, with a typical mid-level package around $385K. Below is the full breakdown by level - base salary, annual equity, and bonus - from public-source data.
Public-source estimates (Beta). Last updated 2026-05. Figures are annualized USD.
| Level | Years | Base (p50) | Equity/yr (p50) | Bonus (p50) | Total (p25-p90) |
|---|---|---|---|---|---|
| Senior AssociateData Engineer (New Grad) | 0-2 YOE | $145K | $32K | $15K | $168K - $252K |
| SeniorSenior Data Engineer | 3-6 YOE | $195K | $62K | $28K | $235K - $415K |
| StaffStaff Data Engineer | 5-9 YOE | $235K | $112K | $42K | $315K - $580K |
| Senior StaffSenior Staff Data Engineer | 8-13 YOE | $275K | $213K | $60K | $430K - $820K |
| DistinguishedDistinguished Data Engineer | 12+ YOE | $320K | $330K | $95K | $580K - $1.2M |
Entry DE.
Mid-level. Most-common external DE hire.
Senior IC.
Staff IC. Data-platform internals leadership.
Distinguished IC. External hires very rare.
LinkedIn data engineering uses the same Senior / Staff / Senior Staff / Distinguished ladder as SWE. The Data Platform org open-sourced Kafka and Pinot; bands track SWE within ~3%.
6 rounds. 5 of them can be practised here - each one below links the rep that trains it.
Recruiter screen
30 minutes. Background, level calibration, team interest. LinkedIn recruits across feed, search, messaging, recruiter products, learning, ads, and infrastructure (Kafka, data platform, ML platform).
Technical phone screen
60 minutes. One coding problem at Medium difficulty. Behavioral questions woven in. Pass to advance to onsite.
Free rep: Coding challenges with a real sandbox →Onsite: Coding round 1
60 minutes. Algorithmic problem with emphasis on clean implementation, edge cases, and clear communication. Trees, graphs, hash maps, sliding window are common.
Free rep: Coding challenges with a real sandbox →Onsite: Coding round 2
60 minutes. Second coding round with a different interviewer. Often more applied or design-shaped (build a small system, design a class hierarchy).
Free rep: Coding challenges with a real sandbox →Onsite: System design
60 minutes. LinkedIn-flavored: feed ranking, connection graphs and people you may know, messaging, search, recruiter tooling, ad serving. Practice these specifically.
Free rep: Design walkthrough: Design a News Feed (Twitter / Facebook) →Onsite: Hiring manager / behavioral
60 minutes. Behavioral focus, role fit, growth mindset framing (Microsoft-influenced). Senior IC expectations at Senior level - mentoring, navigating ambiguity, technical influence.
Free rep: STAR answers: Learning from Failure →The full LinkedIn prep pack → what they value, topic emphasis, and the questions candidates ask.
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