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# Junior Data Engineer

- **Company:** KBS ANALYTICS LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $75,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Microsoft SQL Server, Performance Tuning, SQL Stored Procedures, SQL Databases, Transact-SQL, Virtual Machines, Snowflake, Git, Information Technology, Software Coding, Software Version Control
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=800a3716dca3716f

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or a closely related field (recent graduates welcome); a Master's degree in a related field (CS / Data Science) is a plus.
 * Strong coding skills in SQL and Python - non-negotiable.
 * Academic or project experience building machine learning models (coursework, capstone project, research, or personal projects).
 * Solid understanding of the ML workflow: how data is prepared, how models are built and diagnosed, and what it takes to move a model into production.
 * Working knowledge of virtual machines and cloud computing environments (Azure preferred).

Preferred Experience & Knowledge:

 * Experience with Microsoft SQL Server and T-SQL (stored procedures, functions, performance tuning).
 * Exposure to Snowflake or other cloud data warehouse platforms.
 * Familiarity with version control (Git) and basic CI/CD concepts.

Skills and Abilities

 * Strong written and verbal communication skills - able to explain technical work to both technical and non-technical audiences.
 * A hands-on, execution-oriented mindset - comfortable writing code and directly building solutions rather than just designing on paper.
 * Strong ability to operate independently without close supervision, while collaborating effectively as part of a team - both are must-haves.
 * Curiosity and eagerness to learn in a fast-moving, real-world data environment.
 * Ownership mentality - follows through on tasks with minimal hand-holding.
 * Comfortable asking questions and collaborating with more senior engineers.
 * Detail-oriented, especially around data quality and correctness.



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