Junior Data Engineer: Build & Optimize Data Pipelines

Emonics LLC; Morristown (NJ); On-site; USD 65,000 - 90,000; Full time

Job summary

Emonics LLC is seeking a motivated Junior Data Engineer to join our data team in Morristown, NJ. You will help build and maintain reliable data pipelines and transform raw data into usable datasets to support analytics initiatives.

The ideal candidate has a foundational knowledge of SQL and Python, with exposure to ETL/ELT concepts and data integration. This role emphasizes collaboration with analysts and senior engineers to design scalable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Strong understanding of SQL and relational databases.
• Basic to intermediate knowledge of Python.
• Understanding of ETL/ELT concepts and data pipelines.
• Familiarity with Git/version control.
• Good problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Responsibilities

• Develop, maintain, and monitor data pipelines and ETL/ELT processes.
• Extract, clean, transform, and validate data from multiple sources.
• Write and optimize SQL queries for data processing and analysis.
• Use Python or similar programming languages for data automation and transformation.
• Work with databases, data warehouses, and cloud-based data platforms.
• Perform data quality checks and troubleshoot data pipeline issues.
• Collaborate with Data Analysts, Data Scientists, and Senior Data Engineers.
• Assist in designing scalable and reliable data solutions.
• Document data processes, pipelines, and technical procedures.
• Continuously learn and adopt new data engineering tools and technologies.

Skills

SQL

Python

ETL/ELT

Git/VCS

Data pipelines

Problem solving

Communication

Education

Bachelor's degree in CS/IT/Data Science

Tools

SQL Databases

Cloud platforms

Job description

Emonics LLC is seeking a motivated Junior Data Engineer to join our data team in Morristown, NJ. You will help build and maintain reliable data pipelines and transform raw data into usable datasets to support analytics initiatives.

The ideal candidate has a foundational knowledge of SQL and Python, with exposure to ETL/ELT concepts and data integration. This role emphasizes collaboration with analysts and senior engineers to design scalable data solutions.