Fidelity Investments Data Engineer Interview Guide
The Fidelity Investments 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.
10 real Fidelity Investments interview questions
Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.
SQLL6 · 2025Spark question based on transaction and user and answer top usersUnknown+
SQLL6 · 2025fraud users and other based on joiningUnknown+
SQLL5 · 2025Basic Pyspark aggregationsOnline assessment+
SQLL6 · 2025Spark question based on transaction and user and answer top usersBehavioral+
SQLL6 · 2025fraud users and other based on joiningBehavioral+
SQLL5 · 2025Basic Pyspark aggregationsOnline assessment+
SQLL5 · 2023Aggregate functions in SQL and leetcode hardsOnline assessment+
SQLL5 · 2023Aggregate functions in SQL and leetcode hardsOnline assessment+
SQLL5Calculate the monthly performance of each investor as the ratio of current investment value to initial investment value; return investor_id, investment_month, and performance ratio ordered by investor_id and investment_month; schema: investments(investor_id INTEGER, investment_month VARCHAR, investment_val NUMERIC, current_val NUMERIC)Phone screen · screen sql+
SQLL5about some snow flake related questionsTechnical · screen+
Try a Fidelity Investments-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.
Fidelity Investments is hiring data engineers now
The roles behind this loop. Prep against the levels and locations they are actually filling.
DE performing database design, using type 1, 2, 3 dimensional structures, and Dimensional (Star and Snowflake); prototyping and building infrastructure frameworks and highly scalable Continuous Integration/Continuous Delivery (CI/CD) solutions and pipelines, using uDeploy, Jenkins, CloudFormation, Git, and Artifactory.
Designs and builds Extract, Transact, and Load (ETL) solutions while incorporating TEST automation frameworks in highly scalable distributed data processing systems.
Develops and supports data acquisition, Extract, Transform, and Load (ETL) pipelines, and reporting applications in both on-premises and Cloud-based (Amazon Web Services (AWS)) environments.
Optimize and tune databases: Oracle, PostgreSQL (Aurora, RDS, Microsoft - Azureflex), some understanding of SQL Server, SQLMI, Snowflake and distributed (YugabyteDB, CockroachdB).
Perform applications database administration services including SQL code review, performance analysis, query tuning, database application design, physical data modeling, development support and Engineering.
Experienced with managing DB in cloud platforms primarily on AWS, Azure including managed services in RDS and Azure Flex.
Fidelity Investments compensation and culture
The numbers, tech stack, and team structure live on the company overview.
Compare Fidelity Investments with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Fidelity Investments 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