Aetna Data Engineer Interview Guide
The Aetna data engineer loop, round by round: what each stage tests, example questions with the guidance interviewers actually score, the mistakes that sink strong candidates, and how to prepare.
What the Aetna loop tests: domains and difficulty
Our prediction of the question mix by domain and difficulty for this company's data engineer loop, from live listings and interview reports.
The domain and difficulty mix we predict for a Aetna data engineer loop, across 10 problems. It updates as more Aetna data lands.
2 real Aetna interview questions
Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.
SQLL5sql coding questionsTechnical · screen+
PythonL5 · 2017Data Structures questions on ArraysPhone screen · screen sql+
How candidates rate the Aetna loop
How hard candidates rated the loop and how they felt, summarized across the reports below.
10 rated reports
10 rated Aetna reports
Try a Aetna-style SQL round
Find every user active on 3 or more CONSECUTIVE days. This gaps-and-islands shape shows up in nearly every DE SQL round. Edit the query and run it against the seed data.
Practice the Aetna loop
The problems our model expects in this company's interview, grouped by round. Work the shapes that come up, not the ones that read well on a list.
Aetna is hiring data engineers now
The roles behind this loop. Prep against the levels and locations they are actually filling.
Build and optimize real-time data pipelines using Kafka, CDC, and streaming frameworks
Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Contributing to large-scale applications development, data science, or data analytics projects
Creation of SQL queries and procedures to extract data based on business requirements
Data Engineer to analyze data engineering problems and develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Position Summary: Aetna Resources, LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Data Engineer to Design, build, and manage large-scale data pipelines and backend services to support analytics, machine learning and AI platform initiatives.
Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/LoadfTransform (ETL) workflows to support business applications.
Data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database
Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Blue Bell, PA: Staff Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Alpharetta, GA: Staff Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Staff Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to support business applications.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Staff Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Aetna compensation and culture
The numbers, tech stack, and team structure live on the company overview.
Compare Aetna with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Aetna interview difficulty
- 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
- 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
- 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