Remote Junior Data Engineer — ETL & Cloud Data (Python/SQL)

United States Digital Space LLC; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

United States Digital Space LLC is seeking a Junior Data Engineer to join a remote, cloud-first environment. You will work on ETL pipelines, write SQL queries, and assist with data workflows across AWS services.

Ideal candidates have 0–4 years of software development or data engineering experience, strong Python and SQL skills, and familiarity with PySpark, AWS Glue, Redshift, and Terraform. Global collaboration across delivery teams is expected.

Qualifications

• Degree holders for the visa application process.
• 0-4 years of software development or data engineering experience across relevant cloud platforms.
• Good knowledge of Python and SQL.
• Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
• Strong grasp of ETL concepts and data processing fundamentals.
• Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
• Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between
• coding
• and
• engineering.

Responsibilities

• Assist in building and maintaining ETL pipelines using Python and PySpark.
• Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
• Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
• Write complex SQL queries for data extraction, transformation, validation, and reporting.
• Help implement basic monitoring, logging, and error handling for data pipelines.
• Support the ingestion and processing of data from APIs and JSON payloads.
• Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
• Contribute to code management, technical documentation, and deployment support activities.

Skills

Python

SQL

ETL concepts

SDLC

Data engineering best practices

Code optimization

English proficiency

Spanish proficiency

Tools

AWS services (S3, SNS/SQS, EMR, Glue, Lambda, Redshift, Step Functions)

GitLab

Terraform

PySpark

Job description

United States Digital Space LLC is seeking a Junior Data Engineer to join a remote, cloud-first environment. You will work on ETL pipelines, write SQL queries, and assist with data workflows across AWS services.

Ideal candidates have 0–4 years of software development or data engineering experience, strong Python and SQL skills, and familiarity with PySpark, AWS Glue, Redshift, and Terraform. Global collaboration across delivery teams is expected.