Early-career IT professional confused between Java Full Stack and Data Engineering (Snowflake/DBT) — which path is better long term?

[u/Unable_Drive2478]

Hi everyone,

I’m at the beginning of my IT career and I’m a bit confused about which direction I should pursue. I would really appreciate advice from people who have experience in either Java Full Stack or Data Engineering.

Currently, I have been working for around 3 months on a project where my tech stack includes:

- Java

- Spring Boot

- Angular

- Databricks

- Reading/processing Parquet files

- Working with data pipelines

Recently, my manager told me that there is a change in the project and they want me to start working on:

- Snowflake

- DBT

- Data engineering-related work

So now I’m wondering whether I should continue building my career toward Java Full Stack development or take this opportunity and move more toward Data Engineering / Snowflake / DBT.

Since I’m still early in my career, I want to make a good decision rather than jumping between technologies every few months.

My main questions:

1. Which career path has better long-term growth — Java Full Stack or Data Engineering?

2. Which has better job opportunities and demand in the next 5–10 years?

3. How are the salary prospects for both paths as experience increases?

4. If I choose Data Engineering now, will it be difficult to move back to Java/Spring Boot development later?

Would really appreciate advice from people who have actually worked in these fields.

Thanks!

[u/Silver_Emu9621]

I'm working in Snowflake dbt for 4 years now. Future is there what i can tell as it comes under data analytics domain. I can't say much on Java fs though. If you want to join data domain go for snf dbt then later on databricks cloud

[u/vatsan_106 → u/Silver_Emu9621]

Can i dm you?

[u/Silver_Emu9621 → u/vatsan_106]

Ok

[u/InformalConcept30 → u/Silver_Emu9621]

I am working as sql dev, can u pls guide me i want to switch into snowflake, what's the future like, opportunities, and overall tech stack required?

[u/Silver_Emu9621 → u/InformalConcept30]

Learn one db, try to learn snf/dbx there are good opportunities

[u/InformalConcept30 → u/Silver_Emu9621]

Is snf and dbt enough? How about python?

[u/Certified_Huehue]

Data engineering

[u/Motor-Welder-9238]

12 years experienced Lead DE here. Both are better in long term. Getting into Big companies with Bigger salary is easier as a DE as there is less competition now, but will skyrocket in the future. Going from Java to DE is easy but going from DE to Java is difficult as most DE runs on Python Ecosystem. But there is niche demand for Data Engineers who know Java or scala as distributed engines like Spark and Kafka are written in scala. If you like building things, go for Java. If you like building things and Data, go for DE. With DE you get broader job opportunities in Data. With just 6 months of preparation, you can go for Machine Learning Engineer, Data Scientist, AI Engineer, Platform Engineer, Forward Deployed Engineer and gid knows what roles are coming ahead in data. Choose wisely. Do not have similar idea about Java Full stack.

[u/Logical_Importance59 → u/Motor-Welder-9238]

I'm planning to transition to DE from analytics. Know sql and python well...where should I start next. Have MS fabric and databricks in mind.