Junior Data Engineer

Role Overview

The Junior Data Engineer will help create, improve, and support the data systems and pipelines that keep data flowing reliably for analysis and operational use. The position involves working with both structured and unstructured data, maintaining data quality, and contributing to scalable data solutions. It is a strong fit for an early-career professional who wants practical exposure to data engineering and close collaboration with data teams.

Key Responsibilities

• Support the creation, upkeep, and optimization of data pipelines and workflow processes.
• Gather data from multiple sources, then clean, process, and transform it for use.
• Assist with building and maintaining data storage systems.
• Help keep data accurate, consistent, and dependable across different systems.
• Work with data analysts and engineers to address business and technical data requirements.
• Track data workflows and resolve issues when problems occur.
• Prepare and update documentation for pipelines, platforms, and operating procedures.
• Contribute to data integration and migration work.
• Adopt data engineering and data management best practices while learning on the job.
• Help improve the speed, stability, and reliability of data processing.

Qualifications and Requirements

• A bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a similar discipline is required.
• Foundational knowledge of databases, data structures, and data processing concepts is needed.
• Some familiarity with programming or scripting languages used for data work is expected.
• Exposure to data pipelines, ETL workflows, or data warehousing concepts is an advantage.
• Strong analytical thinking and problem-solving ability are important.
• A sharp eye for detail and a strong focus on data accuracy are necessary.
• The candidate should be comfortable working in a collaborative team setting.
• Willingness to learn new tools, technologies, and frameworks is essential.
• Basic knowledge of cloud platforms or distributed systems will be helpful.
• Academic projects or internships in data engineering are considered beneficial.

Summary

This role supports the data infrastructure that powers data-driven work across the organization. It provides practical experience with modern data systems and a solid base for future growth in data engineering and analytics.

Additional Information

Location: California, United States.