Data Engineering at Fidelity Investments
Roles, Comp & Culture
An L7 principal data engineer at Fidelity Investments sits around $266K total comp from 61 verified salary datapoints. The primary Data Engineering tech consists of AWS, Snowflake and Azure, according to current job listings. Fidelity Investments pays data engineers slightly above other Finance companies. Reviews put them at 4.1 on Glassdoor, among the highest of any company here. Fidelity Investments employees report healthy morale and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 14 data engineering roles are open right now.
Fidelity Investments data engineer compensation
Each level's figure is the median of individual Fidelity Investments 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.
Fidelity Investments 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.
Fidelity Investments data engineering tech stack
The languages, storage, and processing tools Fidelity Investments data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLFidelity Investments data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
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.
Preparing for the Fidelity Investments loop
The round-by-round process, example questions, and prep plan are on the interview guide.
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