Data Engineer Junior

Location: Wilmington, DE (Hybrid – 3 days onsite)

Salary: $50.00 USD Hourly – $60.00 USD Hourly

Duration: 6 month contract (with potential extension)

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.

• 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.

• 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.

• 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.