Data Engineer

Job Title- Data Engineer

Location- Naperville/Chicago

Salary Range- 65k to 70k

Data Engineer (Entry-Level)
We are looking for enthusiastic and detail-oriented individuals to join our team as Data Engineers. This role offers hands-on exposure to modern data tools, cloud concepts, and real-world data engineering projects under the guidance of experienced professionals.
Key Responsibilities:

Assist in building and maintaining data pipelines using Python and SQL
Support data extraction, transformation, and loading (ETL) processes
Work with databases, data warehouses, and data lake environments
Help implement data quality checks and documentation standards
Support integration of data from various internal and external sources
Collaborate with data scientists, analysts, and engineering teams
Contribute to debugging, testing, and optimizing data workflows
Learn and support basic tasks on cloud platforms (AWS, Azure, or GCP)

Qualifications:

Bachelor’s or Master’s degree in Computer Science, IT, Data Engineering, or related fields
Basic understanding of Python and SQL
Knowledge of databases and ETL concepts
Familiarity with cloud fundamentals (preferred but not mandatory)

Preferred Skills (Good to Have):

Exposure to AWS cloud platform
Basic understanding of version control tools like Git
Knowledge of APIs, JSON, or CSV file handling
Internship or academic project in data engineering or analytics

What You Will Learn:

End-to-end data pipeline development
Working with large datasets and enterprise-level data systems
Basics of cloud-based data engineering
Data quality, governance, and documentation best practices
Collaboration in cross-functional engineering teams
Real-world analytical and problem-solving skills

Why Join Us:

Strong mentorship and structured learning path
Exposure to modern tools and technologies
Opportunity to build a career in data engineering from the ground up
Supportive work culture focused on growth and development