Data Engineer Junior

THE JUDGE GROUP, INC.
Wilmington, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 125K

Job location

Wilmington, United States of America

Tech stack

Java
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Information Engineering
ETL
Software Debugging
Distributed Computing Environment
Python
Machine Learning
Cloud Services
Shell Script
Software Engineering
Data Streaming
Workflow Management Systems
Data Processing
Data Ingestion
Large Language Models
Spark
PySpark
Information Technology
Terraform
Data Pipelines
Databricks

Job description

We are seeking a Junior Data Engineer to support the development and optimization of scalable data pipelines in a cloud-based environment. The role focuses on hands-on ETL development, big data processing, and contributing to critical initiatives such as Databricks migration and fraud analytics., * Design, build, and maintain scalable ETL and streaming data pipelines.

  • Develop data processing solutions using Spark (PySpark or Java).
  • Work with AWS cloud services (EMR, Lambda, S3, RDS) for data ingestion and processing.
  • Collaborate with cross-functional teams to support fraud analysis and generate actionable insights for strategy teams.
  • Contribute to Databricks migration initiatives and optimize existing workflows.
  • Perform hands-on data engineering tasks including scripting, debugging, and pipeline enhancements.

Requirements

  • 3+ years of hands-on experience in data engineering or related field.
  • Strong experience with Spark (PySpark preferred) and ETL/streaming pipeline development.
  • Proficiency in Python (preferred) or Java.
  • Experience with AWS cloud services such as EMR, S3, Lambda, and RDS.
  • Hands-on experience with Databricks.
  • Solid understanding of data pipelines and distributed data processing.

Preferred Qualifications (Nice to Have)

  • Experience with Airflow for workflow orchestration.
  • Proficiency in UNIX/Linux and Shell scripting.
  • Experience using Terraform for infrastructure as code.
  • Exposure to machine learning or Large Language Models (LLMs) and related use cases.

Basic Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.

Formal training or certification in software engineering concepts.

What We're Looking For

Strong problem-solving skills and attention to detail

Hands-on experience with ETL and big data workflows

Ability to work in a fast-paced, collaborative environment

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