Data Engineering at CCC Intelligent Solutions

Roles, Comp & Culture

An L5 senior data engineer at CCC Intelligent Solutions sits around $165K total comp from 6 verified salary datapoints. The ladder runs from about $129K at mid up to $165K. CCC Intelligent Solutions pays data engineers slightly below other Technology companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at CCC Intelligent Solutions 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

CCC Intelligent Solutions data engineer compensation

Each level's figure is the median of individual CCC Intelligent Solutions 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.

L4Mid$129Kmedian
Base$122KRange$105K–$159KReports4 · 2-5 yrsCCC Intelligent Solutions loop
L5Senior$165Kmedian
Base$120KRange$150K–$165KReports5 · 5-10 yrsCCC Intelligent Solutions loop
Updated 6 verified salary reports + 3 salaries adjusted to total comp

CCC Intelligent Solutions 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.

The bargain

The employer signal here is mixed enough to read carefully. Pay comes in below other Technology companies, with $165K at L5 and $129K at L4, so the comp gap is real and doesn't narrow at senior levels. The Glassdoor rating of 3.7 is a little below the middle of the pack, and sentiment is neutral but roughly flat, which points to friction accumulating rather than resolving. What you get in exchange is deep domain ownership inside a B2B SaaS company that has genuine data moats in auto insurance, a space with relatively low engineer saturation compared to consumer tech. Whether that trade works depends on how much you value domain depth over market comp.

Neutralholding steady over the past year
20252026
Updated CCC Intelligent Solutions employee happiness

Recent CCC Intelligent Solutions events

Layoffs, leadership changes, and other major moves at the company, with dates.

Trajectory

The hiring picture right now is quiet: no open data engineering roles as of Aug 2, 2026, which either means the team is fully staffed or budgets are constrained. The past year shows no tracked layoffs in the past 12 months, which is a real positive at a time when peers have cut. More telling are the 5 executive departures over the past 12 months; that level of leadership churn at a company of this size usually signals a strategy or ownership-structure shift in progress, and CCC has been publicly traded as NYSE:CCCS since 2021 after a SPAC, adding investor pressure on margins. For someone joining now, the near-term trajectory is more uncertain than a clean hiring chart would suggest.

  1. Exec departureApr 2026Leadership change
  2. Exec departureMar 2026Leadership change
  3. Exec departureDec 2025Leadership change
  4. Exec departureOct 2025Leadership change
  5. Exec departureSep 2025Leadership change
  6. Exec departureJul 2025Leadership change
  7. Exec departureMay 2025Leadership change
  8. Exec departureMar 2025Leadership change
  9. Exec departureDec 2024Leadership change
Updated 9 CCC Intelligent Solutions events

Notable company events we track, with dates.

The work

CCC Intelligent Solutions sits at an unusual intersection: it runs an AI and data network that connects insurers, auto repair shops, OEMs, and parts suppliers, which means the core data problem is matching and routing at scale across thousands of counterparties with different systems, quality levels, and update cadences. A data engineer here is dealing with claims data, telematics feeds, shop-to-insurer transaction flows, and the model inputs that drive CCC's AI-powered estimates. The stack serves a heavily regulated industry where data accuracy has direct financial consequences for policyholders and carriers alike. That compliance surface shapes the job: you're building pipelines where auditability and correctness matter as much as throughput, and where a bad join on vehicle or parts data can cascade into claim errors downstream.

Prepare for the interview
01 / Open invite
02min.

Walk into Ccc Intelligent Solutions knowing the SQL pattern they'll test.

a Ccc Intelligent Solutions SQL query, the same shape a screen would give you.
The diff against expected. Where ties broke. What you missed.
sandbox
1SELECT user_id,
2 COUNT(*) AS sessions
3FROM events
4WHERE ts >= NOW() - INTERVAL '7 day'
5
Execute your solution0.4s avg.
Who should pursue it

The salary data skews toward mid and senior, with no junior representation in 9 reports, so this isn't a place that hires aggressively at the entry level. Engineers who do well here tend to be comfortable owning pipelines end-to-end in a domain where the business logic is genuinely complex, and who prefer incremental product evolution over rapid architectural churn. If your priority is compensation parity with the broader market, the pay gap below other Technology companies will be hard to ignore. If you're drawn to insurance and automotive data problems and want to own real infrastructure at a company where DE isn't just a support function, the fit is more defensible. Given the hiring freeze and the leadership transitions, it's worth watching whether roles open before committing to a full prep cycle; if they do, check the ladder and prepare for the loop.

Preparing for the CCC Intelligent Solutions loop

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

Compare CCC Intelligent Solutions with other data engineering employers

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

02 / Why practice

Prepare at CCC Intelligent Solutions 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

Related Guides