A Python developer writes software in Python, a general-purpose language used for web backends, automation, data pipelines, machine learning and scripting. Before hiring one, decide which of those areas the job actually needs.
An API (application programming interface) is a defined contract that lets one piece of software request data or actions from another. It hides internal details behind agreed operations, inputs and responses.
A backend developer builds the server-side systems that store data, apply business rules and serve applications through APIs. Hiring one is how a team secures correctness, security and room to grow in the layer users never see.
A data engineer builds and maintains the pipelines, storage and tooling that move data from source systems into places where it can be trusted and used. Companies usually need one before analytics or AI work can scale.
A machine learning engineer builds, deploys and maintains machine learning models as reliable software in production. Teams usually hire one once a model has proved its value and must run, scale and stay accurate every day.
Apache Spark is an open-source engine for processing large datasets in parallel across a cluster of machines. Teams use it for batch jobs, streaming and machine learning.
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