Data Engineering at JOHNSON & JOHNSON
Roles, Comp & Culture
An L6 staff data engineer at JOHNSON & JOHNSON sits around $166K total comp from 19 verified salary datapoints. The primary Data Engineering tech consists of Power BI, Databricks and Snowflake, according to current job listings. JOHNSON & JOHNSON pays data engineers slightly below other Healthcare companies. Reviews put them at 4.1 on Glassdoor, among the highest of any company here. Employee sentiment at JOHNSON & JOHNSON reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 4 data engineering roles are open right now.
JOHNSON & JOHNSON data engineer compensation
Each level's figure is the median of individual JOHNSON & JOHNSON 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.
JOHNSON & JOHNSON 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.
Recent JOHNSON & JOHNSON events
Layoffs, leadership changes, and other major moves at the company, with dates.
- LayoffMay 2026Layoff
- Exec departureSep 2025Leadership change
- Exec departureJun 2025Leadership change
- Exec departureApr 2025Leadership change
Notable company events we track, with dates.
JOHNSON & JOHNSON data engineering tech stack
The languages, storage, and processing tools JOHNSON & JOHNSON data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
FabricJOHNSON & JOHNSON data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses.
Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics.
Lead the design and implementation of enterprise data pipelines and data products using Azure and Microsoft Fabric (Lakehouse/Warehouse patterns as applicable), Databricks, and modern orchestration approaches.
Design, implement, and operate ETL/ELT pipelines using Databricks (Spark, Delta Lake, Workflows), Python/PySpark, and AWS S3 to ingest, normalize, validate, reconcile, and serve manufacturing data (robot logs, telemetry) into analytics-ready datasets with defined SLAs for freshness, throughput, and availability.
Practice for the JOHNSON & JOHNSON loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the JOHNSON & JOHNSON loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare JOHNSON & JOHNSON with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at JOHNSON & JOHNSON 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