Data Engineer – Entry Level

Emonics LLC; Philadelphia (Philadelphia County); On-site; USD 65,000 - 90,000; Full time

Job summary

Emonics LLC is seeking an enthusiastic Data Engineer - Entry Level to join our data engineering team. You will help build, maintain, and optimize data pipelines and data solutions that support business reporting, analytics, and decision-making.

You will develop, monitor, and refine ETL/ELT processes, write SQL queries, and assist in designing data models and workflows. A Bachelor's degree and 0–2 years of related experience are expected, with Python proficiency as a plus.

Qualifications

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

Job description

We are looking for an enthusiastic and detail-oriented Data Engineer - Entry Level to join our data engineering team. In this role, you will help build, maintain, and optimize data pipelines and data solutions that support business reporting, analytics, and decision-making.

Key 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.

Required 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.