Junior Data Engineer (Remote) — United States

This is a Fully Remote Job

About Our Client:

This organization operates within the data engineering and analytics sector, focusing on addressing challenges related to data ingestion, transformation, and accessibility. The company supports scalable and reliable data pipelines to ensure that diverse teams such as data scientists and analysts have accurate and ready-to-use data for reporting and analytics. It serves multiple U.S. locations and offers flexible work arrangements to adapt to various employment needs.

About the Opportunity:

The JUNIOR DATA ENGINEER role is designed for early-career professionals to contribute to the development and maintenance of data pipelines and ETL workflows. This position plays a critical role in transforming raw data into actionable datasets and supporting data integration efforts. By collaborating with cross-functional technical teams, the role ensures data accuracy and availability that directly impact reporting and analytics capabilities.

Responsibilities:

• Develop, test, and maintain data pipelines using Python and SQL

• Assist in building and managing ETL workflows

• Extract data from databases, APIs, and other sources

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

• Use Apache Spark for distributed data processing and transformations

• Write efficient SQL queries for data retrieval and manipulation

• Monitor data pipelines and resolve failures and performance issues

• Support batch-processing and streaming data workflows

• Implement data validation checks for accuracy and consistency

• Collaborate with analytics teams to support reporting needs

• Document pipeline logic, data sources, and procedures

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

• Participate in code reviews and continuous improvement initiatives

Requirements:

• Bachelor’s degree in Computer Science, IT, Data Engineering, Software Engineering, or related field, or equivalent experience

• 0–3 years of experience in data engineering, software development, or related technical fields

• Proficiency with Python scripting and SQL querying

• Understanding of ETL/ELT concepts and data pipeline development

• Basic familiarity with Apache Spark and distributed processing

• Knowledge of relational databases and data modeling fundamentals

• Skills in data cleaning, validation, and transformation

• Familiarity with Git or other version control tools

• Strong analytical, problem-solving, and communication skills

• Must currently reside in the United States

Pay Range and Compensation Package:

• Salary range: $75,000 to $115,000 per year

• Full-time employment with remote, hybrid, or on-site work options depending on position

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

mekYzM8XM is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.