Junior Data Engineer: Build Scalable ETL Pipelines

Emonics LLC; Lancaster (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Emonics LLC is seeking a data engineer to develop, monitor, and optimize scalable data pipelines and ETL/ELT processes. You will extract data from diverse sources, transform it, and load into data platforms while ensuring quality and accuracy.

The role requires strong SQL skills, experience with relational databases, and programming in Python or similar languages. You will collaborate with analytics and business teams to align data requirements with reporting needs.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.
• 0–2 years of experience in data engineering, software engineering, analytics, or a related field.
• Strong SQL skills and understanding of relational databases.
• Programming experience in Python or another programming language.

Responsibilities

• Develop, maintain, and monitor scalable data pipelines and ETL/ELT processes.
• Extract, transform, and load data from various sources into data warehouses and data platforms.
• Write efficient SQL queries for data transformation, validation, and analysis.
• Assist in designing and maintaining data models, schemas, and data workflows.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Perform data validation and implement checks to ensure accuracy and consistency.
• Collaborate with analytics and business teams to understand data requirements.
• Document data processes, pipelines, and technical solutions.

Skills

SQL

Relational databases

Python

Education

Bachelor's degree or equivalent in CS/IT/Engineering/Data Science

Job description

Emonics LLC is seeking a data engineer to develop, monitor, and optimize scalable data pipelines and ETL/ELT processes. You will extract data from diverse sources, transform it, and load into data platforms while ensuring quality and accuracy.

The role requires strong SQL skills, experience with relational databases, and programming in Python or similar languages. You will collaborate with analytics and business teams to align data requirements with reporting needs.