Fannie Mae Data Engineer Interview Guide
The Fannie Mae 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.
6 real Fannie Mae interview questions
Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.
PythonL5 · 2025how to validate the data mismatch between 2 dataframesPhone screen · screen sql+
PythonL5 · 2024How would you handle missing data code-wise?Behavioral+
PythonL3 · 2024What is a class in Python?Onsite · python+
PythonL5how to validate the data mismatch between 2 dataframesTechnical · screen+
PythonL5How would you handle missing data code-wise?Technical · screen+
PythonL3What is a class in Python?Technical · screen+
Try a Fannie Mae-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.
Fannie Mae is hiring data engineers now
The roles behind this loop. Prep against the levels and locations they are actually filling.
Lead the design, development, and modernization of scalable data platforms, pipelines, and engineering capabilities on AWS cloud.
Define and lead the Single-Family data engineering strategy for structured and unstructured data in alignment with Enterprise Data strategy.
Fannie Mae compensation and culture
The numbers, tech stack, and team structure live on the company overview.
Compare Fannie Mae with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Fannie Mae 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