Junior Data Engineer: Build Pipelines with SQL & Python

Emonics LLC; Philadelphia (Philadelphia County); On-site; USD 85,000 - 125,000; Full time

Job summary

Emonics LLC is seeking a data engineer to develop and maintain scalable ETL pipelines in Philadelphia. You will work with SQL, Python, and data platforms to transform and validate data for analytics teams.

Ideal candidates have 0–2 years of experience, a degree in a related field, and a strong foundation in relational databases and data modeling. Join a collaborative team shaping data workflows across the organization.

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

Python

Education

Bachelor's degree in Computer Science or related field

Job description

Emonics LLC is seeking a data engineer to develop and maintain scalable ETL pipelines in Philadelphia. You will work with SQL, Python, and data platforms to transform and validate data for analytics teams.

Ideal candidates have 0–2 years of experience, a degree in a related field, and a strong foundation in relational databases and data modeling. Join a collaborative team shaping data workflows across the organization.