Senior Data Engineer - $500 - $550 A Day - Remote

Signify Technology; Córdoba; Remote; EUR 82,000 - 90,000; Full time

Job summary

Signify Technology is partnering with a client on a large-scale cloud data migration. We’re seeking a Senior Data Engineer to deliver the final phase of a GCP to AWS migration, focusing on Scala/Spark workloads and robust data validation.

This remote EU-friendly role offers a contract through 2026 with potential extension. You’ll work with an AWS deployment, translate pipelines for performance, and support Airflow orchestration.

Qualifications

• Experience delivering data migrations (GCP to AWS).
• Strong Scala and Spark expertise.
• Experience with testing, validation, and data quality.
• Experience handling large, business-critical datasets.

Responsibilities

• Deliver the final 30% of a complex data migration (GCP to AWS).
• Adapt an existing Scala-based Spark codebase.
• Translate pipelines for AWS compatibility and performance.
• Support Airflow orchestration.
• Ensure robust testing, validation, and monitoring across pipelines.

Skills

Scala

Spark

AWS

GCP

Airflow/Python

Data quality & testing

Tools

Python

Airflow

Spark

Job description

Senior Data Engineer (Scala / Spark) - AWS Migration | Start ASAP Signify Technology is partnering with a client on a large-scale GCP to AWS data migration. We’re looking for a Senior Data Engineer to help deliver the final phase of a business-critical data platform. Location: Fully Remote (EU timezones) US East Coast team - some overlap required. Contract: Until the end of 2026 (likely extension). Rate: $500-$550 per day. Interview Process: 2 stages (fast turnaround).

What You’ll Do

• Deliver the final 30% of a complex data migration (GCP to AWS)
• Work with and adapt an existing Scala-based Spark codebase
• Translate pipelines for AWS compatibility and performance
• Support Airflow (Python) orchestration
• Ensure robust testing, validation, and monitoring across pipelines

What We’re Looking For

• Strong Scala + Spark experience
• Proven experience with data pipeline migrations (GCP/AWS)
• Solid understanding of testing, validation, and data quality
• Comfortable working with high-impact, business-critical datasets