Junior Data Engineer

# Junior Data Engineer United States7 hours agoID  Salary## Details

Employment type:

Full-time Remote:
Yes Salary from:
75,000

Salary to:
115,000

Company:
EdgeQ Technologies Private Limited## Description Junior Data Engineer

Job Title:

Junior Data Engineer  Job Type: Full-Time  Work Arrangement:
Remote / Hybrid / On-site  Experience Level: Entry-Level to Early Career (0–3 Years)  Salary Range: $75,000–$115,000 per year  

Job Location s:
Seattle, WA | Austin, TX | Dallas, TX | New York City, NY | Atlanta, GA  Candidate Location Requirement:
Must currently reside in the United States.  About the Role  We are seeking a motivated and detail-oriented Junior Data Engineer to join our data engineering team. The ideal candidate will have a foundational understanding of Python, SQL, ETL processes, and Apache Spark, with a strong interest in building reliable, scalable data pipelines.  In this role, you will help develop and maintain data ingestion workflows, transform raw data into usable datasets, and support data integration initiatives.

You will collaborate with data engineers, data analysts, data scientists, and other technical teams to ensure data is accurate, accessible, and ready for reporting and analytics.  This opportunity is ideal for recent graduates and early-career professionals who want to build their skills in data engineering, big data processing, and modern data platforms.  Eligibility requirement:
Applicants must currently reside in the United States. Remote work is available only where permitted by the employer's employment and payroll requirements.  

Key Responsibilities    
• Develop, test, and maintain data pipelines using Python and SQL.

• Assist in building and managing ETL (Extract, Transform, Load) workflows.

• Extract data from databases, APIs, files, and other source systems.

• Clean, transform, validate, and load data into target systems.

• Use Apache Spark for distributed data processing and large-scale data transformations.

• Write efficient SQL queries to retrieve, join, aggregate, and manipulate datasets.

• Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.

• Support the development of batch-processing and, where applicable, streaming data workflows.

• Implement data validation checks to maintain data accuracy and consistency.

• Collaborate with analytics and business intelligence teams to support reporting and analytical requirements.

• Document pipeline logic, data sources, transformations, and technical procedures.

• Follow coding standards, version control practices, and data security guidelines.

• Participate in code reviews, testing, and continuous improvement initiatives.

Required Qualifications    
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.

• 0–3 years of experience in data engineering, software development, data analytics, or a related technical field.

• Working knowledge of Python for scripting, data processing, and automation.

• Proficiency in SQL , including joins, aggregations, subqueries, and data manipulation.

• Understanding of ETL/ELT concepts and data pipeline development.

• Basic familiarity with Apache Spark and distributed data processing.

• Knowledge of relational databases and data modeling fundamentals.

• Understanding of data cleaning, validation, and transformation techniques.

• Familiarity with Git or other version control tools.

• Strong analytical thinking, problem-solving, and debugging skills.

• Good written and verbal communication skills.

• Must currently reside in the United States.

Preferred Qualifications    
• Exposure to PySpark for large-scale data transformations.

• Familiarity with cloud…