Back-End Data Engineer - AWS, Spark & Pipelines (Hybrid)

Ampcus, Inc; Wilmington (DE); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health & Wellness

Life Insurance

Retirement Savings

Job summary

Ampcus Inc. is seeking a seasoned Back-End Developer specializing in Data Engineering to join our team. You will build and maintain data pipelines using Java, Scala, Spark, and AWS services, with a focus on reliability and scalability.

The role requires strong expertise in event-based architectures, AWS Glue, S3, Lambda, and Step Functions, and a commitment to data quality and governance. Hybrid work arrangement across Wilmington, DE and other listed sites is supported.

Qualifications

• Strong backend and data engineering fundamentals with Java/Scala/Spark.
• Hands-on AWS services experience and event-driven architectures.
• Ability to design robust data pipelines and data quality checks.

Responsibilities

• Develop and maintain data pipelines using Java/Scala/Spark on AWS.
• Implement event-based triggers via EventBridge and S3 notifications.
• Design and orchestrate workflows with Step Functions and Glue.
• Ensure data quality, schema drift handling, and backfill when needed.

Skills

Java

Scala

Spark

AWS

Event-based architecture

Tools

S3

Glue

Step Functions

Lambda

Job description

Ampcus Inc. is seeking a seasoned Back-End Developer specializing in Data Engineering to join our team. You will build and maintain data pipelines using Java, Scala, Spark, and AWS services, with a focus on reliability and scalability.

The role requires strong expertise in event-based architectures, AWS Glue, S3, Lambda, and Step Functions, and a commitment to data quality and governance. Hybrid work arrangement across Wilmington, DE and other listed sites is supported.