Data Platform Intern: AWS, Spark & ETL

United States Digital Space LLC; United States; Remote; USD 28,000 - 41,000; Part time

Benefits offered by this job

Mentorship program

Hands-on project experience

Job summary

United States Digital Space LLC offers an internship in data platform modernization on AWS. You will write real pipeline code on real projects, working with business leads, analysts, and data scientists to understand the domain, then with engineers to build data products that help decisions.

You will learn the agent-native craft, focusing on Spark, ETL design, and data-quality decisions, under mentor guidance. This role emphasizes learning and hands-on practice.

Qualifications

• Exposure to Apache Spark.
• Exposure to ETL concepts using pySpark and SparkSQL.
• Exposure to SQL queries and stored procedures with mentor guidance.

Responsibilities

• Write efficient code in Spark or Beam for the project.
• Explore new technologies and learn techniques to solve business problems.
• Collaborate across engineering and business teams to build data products.
• Deliver projects with the team and keep customers updated on schedule.

Skills

Collaborative mindset

Analytical thinking

Strong communication

Tools

Apache Spark

pySpark

SparkSQL

SQL

AWS EMR

Apache Airflow

Job description

United States Digital Space LLC offers an internship in data platform modernization on AWS. You will write real pipeline code on real projects, working with business leads, analysts, and data scientists to understand the domain, then with engineers to build data products that help decisions.

You will learn the agent-native craft, focusing on Spark, ETL design, and data-quality decisions, under mentor guidance. This role emphasizes learning and hands-on practice.