Data Engineering at Oportun

Roles, Comp & Culture

An L6 staff data engineer at Oportun sits around $201K total comp from 6 verified salary datapoints. The primary Data Engineering tech consists of AWS and Azure, according to current job listings. Oportun pays data engineers in line with other Finance companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at Oportun reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 1 data engineering role is open right now.

Last updated: Proudly published by: Jeff Wahl

Oportun data engineer compensation

Each level's figure is the median of individual Oportun 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.

L5Senior$130Kmedian
Base$108KRange$129K–$131KReports4 · 5-10 yrsOportun loop
L6Staff$201Kmedian
Base$172KRange$157K–$240KReports4 · 8-15 yrsOportun loop
Updated 6 verified salary reports + 2 salaries adjusted to total comp

Oportun 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.

Neutralholding steady over the past year
20252026
Updated Oportun employee happiness

Oportun data engineering tech stack

The languages, storage, and processing tools Oportun data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.

Cloud
AWS
Azure
Updated from current job listings

Oportun data engineer job openings

A live read on what they are hiring: open roles, recent postings, where, and at what level.

Oportun
Hiring now
Oportun data engineer · live from career pages
1
open roles
Levels hiring
L51
Updated 1 open listing

Preparing for the Oportun loop

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

Compare Oportun with other data engineering employers

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

02 / Why practice

Prepare at Oportun 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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