Entry-Level Data Engineer | SQL & Python Wizard

Refocus LLC; United States; On-site; USD 60,000 - 90,000; Full time

Job summary

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

You'll work with SQL, Python, and ELT processes to ensure data quality and accessibility, collaborating with analytics teams to translate business needs into scalable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.
• 0–4 years of experience in data engineering, software engineering, analytics, or 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

Data engineering

Education

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

Job description

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

You'll work with SQL, Python, and ELT processes to ensure data quality and accessibility, collaborating with analytics teams to translate business needs into scalable data solutions.