Data Engineering at MIT Lincoln Laboratory

Roles, Comp & Culture

An L6 staff data engineer at MIT Lincoln Laboratory sits around $152K total comp from 9 verified salary datapoints. The ladder runs from about $125K at entry up to $152K. MIT Lincoln Laboratory pays data engineers below other Technology companies. Reviews put them at 4.5 on Glassdoor, among the highest of any company here. Employee sentiment at MIT Lincoln Laboratory reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days.

Last updated: Proudly published by: Jeff Wahl

MIT Lincoln Laboratory data engineer compensation

Each level's figure is the median of individual MIT Lincoln Laboratory offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.

L3Entry$125Kmedian
Base$125KRange$107K–$147KReports4 · 0-2 yrsMIT Lincoln Laboratory loop
L6Staff$152Kmedian
Base$152KRange$152K–$183KReports5 · 8-15 yrsMIT Lincoln Laboratory loop
Updated 9 verified salary reports

MIT Lincoln Laboratory employee sentiment, tracked weekly

Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.

Neutraltrending up over the past year
20252026
Updated MIT Lincoln Laboratory employee happiness

Preparing for the MIT Lincoln Laboratory loop

The round-by-round process, example questions, and prep plan are on the interview guide.

Compare MIT Lincoln Laboratory with other data engineering employers

How the role, pay, and loop stack up against peer companies.

02 / Why practice

Prepare at MIT Lincoln Laboratory interview difficulty

  1. 01

    Reading a solution is not the same as writing one

    Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you

  2. 02

    76% of hiring managers reject on the coding task, not the resume

    From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice

  3. 03

    5 problem shapes cover 80% of data engineer loops

    Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition

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